From 35886c3f26e883ab9de114e04c99f77481008def Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Mon, 13 Jul 2026 12:24:02 +0200
Subject: [PATCH 01/16] feat: Use PMcore 0.26

Not yet released
---
 Cargo.lock                 | 495 +++++++++++++++++++++++++++-----
 Cargo.toml                 |   4 +-
 DESCRIPTION                |   3 +-
 NAMESPACE                  |   4 -
 R/PM_model.R               |  97 ++++---
 R/PM_result.R              |  48 +---
 R/PMbuild.R                |  65 +----
 R/extendr-wrappers.R       |  60 +---
 R/model_dsl.R              | 563 +++++++++++++++++++++++++++++++++++++
 man/PM_build.Rd            |  14 +-
 man/PM_model.Rd            |  17 +-
 man/additive.Rd            |   6 +-
 man/compile_model.Rd       |  26 --
 man/dummy_compile.Rd       |  18 --
 man/fit.Rd                 |  10 +-
 man/is_cargo_installed.Rd  |  15 -
 man/model_parameters.Rd    |  10 +-
 man/proportional.Rd        |   6 +-
 man/simulate_all.Rd        |  10 +-
 man/simulate_one.Rd        |  12 +-
 man/temporary_path.Rd      |  15 -
 src/rust/Cargo.toml        |  13 +-
 src/rust/src/executor.rs   |  99 +++++--
 src/rust/src/lib.rs        | 236 +++-------------
 src/rust/src/settings.rs   | 171 ++++++-----
 src/rust/src/simulation.rs |  13 +-
 26 files changed, 1353 insertions(+), 677 deletions(-)
 mode change 100755 => 100644 R/PMbuild.R
 mode change 100755 => 100644 R/extendr-wrappers.R
 create mode 100644 R/model_dsl.R
 delete mode 100644 man/compile_model.Rd
 delete mode 100644 man/dummy_compile.Rd
 delete mode 100644 man/is_cargo_installed.Rd
 delete mode 100644 man/temporary_path.Rd
 mode change 100755 => 100644 src/rust/src/executor.rs
 mode change 100755 => 100644 src/rust/src/lib.rs

diff --git a/Cargo.lock b/Cargo.lock
index a05891b15..1ac503e3b 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -24,11 +24,17 @@ dependencies = [
  "memchr",
 ]
 
+[[package]]
+name = "allocator-api2"
+version = "0.2.21"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "683d7910e743518b0e34f1186f92494becacb047c7b6bf616c96772180fef923"
+
 [[package]]
 name = "anyhow"
-version = "1.0.102"
+version = "1.0.103"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7f202df86484c868dbad7eaa557ef785d5c66295e41b460ef922eca0723b842c"
+checksum = "2a4385e2e34eb35d6b3efe798b9eb88096925d87726c0798709bf56d9ed84af3"
 
 [[package]]
 name = "approx"
@@ -39,6 +45,12 @@ dependencies = [
  "num-traits",
 ]
 
+[[package]]
+name = "arbitrary"
+version = "1.4.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c3d036a3c4ab069c7b410a2ce876bd74808d2d0888a82667669f8e783a898bf1"
+
 [[package]]
 name = "argmin"
 version = "0.11.0"
@@ -86,6 +98,12 @@ version = "1.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "c08606f8c3cbf4ce6ec8e28fb0014a2c086708fe954eaa885384a6165172e7e8"
 
+[[package]]
+name = "bitflags"
+version = "1.3.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
+
 [[package]]
 name = "bitflags"
 version = "2.11.1"
@@ -106,6 +124,9 @@ name = "bumpalo"
 version = "3.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "5d20789868f4b01b2f2caec9f5c4e0213b41e3e5702a50157d699ae31ced2fcb"
+dependencies = [
+ "allocator-api2",
+]
 
 [[package]]
 name = "bytemuck"
@@ -178,6 +199,184 @@ dependencies = [
  "libc",
 ]
 
+[[package]]
+name = "cranelift"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "bde609ad0d2ac3255f3363fad230a7f4c6dfd2ff4bf26381c53e459cc7a4fe89"
+dependencies = [
+ "cranelift-codegen",
+ "cranelift-frontend",
+ "cranelift-module",
+]
+
+[[package]]
+name = "cranelift-assembler-x64"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3867f7a56768640a79fc660d2f60298251dc6d65b5d1c907706cd1afff024957"
+dependencies = [
+ "cranelift-assembler-x64-meta",
+]
+
+[[package]]
+name = "cranelift-assembler-x64-meta"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a0661d63dcf8fc4a6538c1ee4d523917c5b27e9fce7a4114cdf9e2b30b4043cf"
+dependencies = [
+ "cranelift-srcgen",
+]
+
+[[package]]
+name = "cranelift-bforest"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a8d535b489159ea63e3c40dfbe8d0e12bfb71f2a14845ef2407353e06c5a697c"
+dependencies = [
+ "cranelift-entity",
+ "wasmtime-internal-core",
+]
+
+[[package]]
+name = "cranelift-bitset"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c3af4f7d421b2354deb01d714266022f38fcdbebc9f5f1ec6d310d3c27286d9e"
+dependencies = [
+ "wasmtime-internal-core",
+]
+
+[[package]]
+name = "cranelift-codegen"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "09fe4c289e67e0221d1705734a57f95e25c289ed0ead7728743ea21285fc4cf1"
+dependencies = [
+ "bumpalo",
+ "cranelift-assembler-x64",
+ "cranelift-bforest",
+ "cranelift-bitset",
+ "cranelift-codegen-meta",
+ "cranelift-codegen-shared",
+ "cranelift-control",
+ "cranelift-entity",
+ "cranelift-isle",
+ "gimli",
+ "hashbrown 0.16.1",
+ "libm",
+ "log",
+ "regalloc2",
+ "rustc-hash",
+ "serde",
+ "smallvec",
+ "target-lexicon",
+ "wasmtime-internal-core",
+]
+
+[[package]]
+name = "cranelift-codegen-meta"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b3063e5363dc5ee6ee8edd930314582c08eb91c209b9564da1cd667f6424b9b3"
+dependencies = [
+ "cranelift-assembler-x64-meta",
+ "cranelift-codegen-shared",
+ "cranelift-srcgen",
+ "heck",
+]
+
+[[package]]
+name = "cranelift-codegen-shared"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c34b9c8dbc9edf37744918e56898d4979ef1e764e8e4bbe8b4d50250838ddfe8"
+
+[[package]]
+name = "cranelift-control"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4eed9dc54204dc99aad19669bca50142659ed583396d9a99a2aef34d7c136ef4"
+dependencies = [
+ "arbitrary",
+]
+
+[[package]]
+name = "cranelift-entity"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9aa2846b239a046217ecf95cfed0e31be4e86843785d07438ad33f456871e888"
+dependencies = [
+ "cranelift-bitset",
+ "wasmtime-internal-core",
+]
+
+[[package]]
+name = "cranelift-frontend"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "144f70fa9cd07efb83497c12dc8fb73f360a690cd990c44e8ceebc293d8c13b5"
+dependencies = [
+ "cranelift-codegen",
+ "log",
+ "smallvec",
+ "target-lexicon",
+]
+
+[[package]]
+name = "cranelift-isle"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0733ca5b2aaa5f6d5d6a1439e3c44280d34730d4d5c262ca08c6775c8d83f191"
+
+[[package]]
+name = "cranelift-jit"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "96aa44fbb64b5b652fd77aa0a5bb3a1609ca4eae7204fd547991245cc19a18d0"
+dependencies = [
+ "anyhow",
+ "cranelift-codegen",
+ "cranelift-control",
+ "cranelift-entity",
+ "cranelift-module",
+ "cranelift-native",
+ "libc",
+ "log",
+ "region",
+ "target-lexicon",
+ "wasmtime-internal-jit-icache-coherence",
+ "windows-sys 0.61.2",
+]
+
+[[package]]
+name = "cranelift-module"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "dab212cf4630da14726d76333152920694c52f544ff5cc520329b4fa256fe78c"
+dependencies = [
+ "anyhow",
+ "cranelift-codegen",
+ "cranelift-control",
+]
+
+[[package]]
+name = "cranelift-native"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "75b1290d6193b171172d5fe9a6e42326edf487a79f211fbf1e76f912a4aed035"
+dependencies = [
+ "cranelift-codegen",
+ "libc",
+ "target-lexicon",
+]
+
+[[package]]
+name = "cranelift-srcgen"
+version = "0.131.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ce0d5c2b4d719566816a0f1c9a9712d35d61e27df0ffd6c72a9afec9048db6c0"
+
 [[package]]
 name = "crossbeam"
 version = "0.8.4"
@@ -288,9 +487,9 @@ dependencies = [
 
 [[package]]
 name = "diffsol"
-version = "0.11.0"
+version = "0.12.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "05b3d0679fef37a03d4a60ba9bf611bbc941ff748345f15caebf6f5194cc565d"
+checksum = "34940fd335386fb9098732cacb5999c0062e722f3f7f5eaad2e642db3a3b64a7"
 dependencies = [
  "faer",
  "faer-traits",
@@ -495,12 +694,24 @@ version = "0.5.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1d674e81391d1e1ab681a28d99df07927c6d4aa5b027d7da16ba32d1d21ecd99"
 
+[[package]]
+name = "fnv"
+version = "1.0.7"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3f9eec918d3f24069decb9af1554cad7c880e2da24a9afd88aca000531ab82c1"
+
 [[package]]
 name = "foldhash"
 version = "0.1.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "d9c4f5dac5e15c24eb999c26181a6ca40b39fe946cbe4c263c7209467bc83af2"
 
+[[package]]
+name = "foldhash"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "77ce24cb58228fbb8aa041425bb1050850ac19177686ea6e0f41a70416f56fdb"
+
 [[package]]
 name = "gemm"
 version = "0.19.0"
@@ -688,6 +899,18 @@ dependencies = [
  "wasip3",
 ]
 
+[[package]]
+name = "gimli"
+version = "0.33.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0bf7f043f89559805f8c7cacc432749b2fa0d0a0a9ee46ce47164ed5ba7f126c"
+dependencies = [
+ "fnv",
+ "hashbrown 0.16.1",
+ "indexmap",
+ "stable_deref_trait",
+]
+
 [[package]]
 name = "glam"
 version = "0.14.0"
@@ -815,7 +1038,16 @@ version = "0.15.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9229cfe53dfd69f0609a49f65461bd93001ea1ef889cd5529dd176593f5338a1"
 dependencies = [
- "foldhash",
+ "foldhash 0.1.5",
+]
+
+[[package]]
+name = "hashbrown"
+version = "0.16.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "841d1cc9bed7f9236f321df977030373f4a4163ae1a7dbfe1a51a2c1a51d9100"
+dependencies = [
+ "foldhash 0.2.0",
 ]
 
 [[package]]
@@ -899,16 +1131,6 @@ version = "0.2.185"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "52ff2c0fe9bc6cb6b14a0592c2ff4fa9ceb83eea9db979b0487cd054946a2b8f"
 
-[[package]]
-name = "libloading"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "754ca22de805bb5744484a5b151a9e1a8e837d5dc232c2d7d8c2e3492edc8b60"
-dependencies = [
- "cfg-if",
- "windows-link",
-]
-
 [[package]]
 name = "libm"
 version = "0.2.16"
@@ -943,6 +1165,15 @@ dependencies = [
  "tracing-subscriber",
 ]
 
+[[package]]
+name = "mach2"
+version = "0.4.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d640282b302c0bb0a2a8e0233ead9035e3bed871f0b7e81fe4a1ec829765db44"
+dependencies = [
+ "libc",
+]
+
 [[package]]
 name = "matchers"
 version = "0.2.0"
@@ -968,23 +1199,6 @@ version = "2.8.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f8ca58f447f06ed17d5fc4043ce1b10dd205e060fb3ce5b979b8ed8e59ff3f79"
 
-[[package]]
-name = "moka"
-version = "0.12.15"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "957228ad12042ee839f93c8f257b62b4c0ab5eaae1d4fa60de53b27c9d7c5046"
-dependencies = [
- "crossbeam-channel",
- "crossbeam-epoch",
- "crossbeam-utils",
- "equivalent",
- "parking_lot",
- "portable-atomic",
- "smallvec",
- "tagptr",
- "uuid",
-]
-
 [[package]]
 name = "nalgebra"
 version = "0.33.3"
@@ -1324,20 +1538,24 @@ dependencies = [
 
 [[package]]
 name = "pharmsol"
-version = "0.26.1"
+version = "0.28.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "de605b6c68d73a526d5247830088350df33bed2cdfdcd52fa00e86933a93a154"
+checksum = "9a4dd8aaeab5b9c2c8be10c4ee2a8adb76e8539d0ea140884c7c4cd94f685bc9"
 dependencies = [
  "ahash",
  "argmin",
  "argmin-math",
+ "cranelift",
+ "cranelift-jit",
+ "cranelift-module",
+ "cranelift-native",
  "csv",
  "diffsol",
- "libloading",
- "moka",
  "nalgebra 0.34.2",
  "ndarray",
+ "pharmsol-dsl",
  "pharmsol-macros",
+ "quick_cache",
  "rand 0.10.1",
  "rand_distr 0.6.0",
  "rayon",
@@ -1348,12 +1566,23 @@ dependencies = [
  "tracing",
 ]
 
+[[package]]
+name = "pharmsol-dsl"
+version = "0.28.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "83c8a6c436e68866a8fac234adb9e60d80e52409e96be4a22d2a07db2375bdfb"
+dependencies = [
+ "serde",
+ "serde_json",
+]
+
 [[package]]
 name = "pharmsol-macros"
-version = "0.1.0"
+version = "0.28.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b6fbff5e3ed52098eb43dbf92bfb76de87661b73d9f486d28a0cb5f0a5d821f8"
+checksum = "3e206b13add7f00753a7b5ed8423aabd767546b432753bf4d57c8ce0325c45c5"
 dependencies = [
+ "pharmsol-dsl",
  "proc-macro2",
  "quote",
  "syn 2.0.117",
@@ -1371,7 +1600,6 @@ version = "0.1.0"
 dependencies = [
  "anyhow",
  "extendr-api",
- "libloading",
  "pmcore",
  "rayon",
  "tracing",
@@ -1381,8 +1609,7 @@ dependencies = [
 [[package]]
 name = "pmcore"
 version = "0.25.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "56359b47b12acc12b49b61e98c2405f8750e586a3241e8417bdfa5c59d6aa71d"
+source = "git+https://github.com/LAPKB/PMcore.git?rev=c9c8311#c9c8311dd2019ceb66f490e7bd76e715ed2c52e3"
 dependencies = [
  "anyhow",
  "argmin",
@@ -1512,6 +1739,18 @@ dependencies = [
  "pulp",
 ]
 
+[[package]]
+name = "quick_cache"
+version = "0.7.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "403c1a912fec895cafb223201e368234842acb9220aaf08ab042ae89ba5f135c"
+dependencies = [
+ "equivalent",
+ "foldhash 0.2.0",
+ "hashbrown 0.17.0",
+ "parking_lot",
+]
+
 [[package]]
 name = "quote"
 version = "1.0.45"
@@ -1654,7 +1893,7 @@ version = "11.6.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "498cd0dc59d73224351ee52a95fee0f1a617a2eae0e7d9d720cc622c73a54186"
 dependencies = [
- "bitflags",
+ "bitflags 2.11.1",
 ]
 
 [[package]]
@@ -1706,7 +1945,21 @@ version = "0.5.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ed2bf2547551a7053d6fdfafda3f938979645c44812fbfcda098faae3f1a362d"
 dependencies = [
- "bitflags",
+ "bitflags 2.11.1",
+]
+
+[[package]]
+name = "regalloc2"
+version = "0.15.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "de2c52737737f8609e94f975dee22854a2d5c125772d4b1cf292120f4d45c186"
+dependencies = [
+ "allocator-api2",
+ "bumpalo",
+ "hashbrown 0.17.0",
+ "log",
+ "rustc-hash",
+ "smallvec",
 ]
 
 [[package]]
@@ -1726,6 +1979,24 @@ version = "0.8.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "dc897dd8d9e8bd1ed8cdad82b5966c3e0ecae09fb1907d58efaa013543185d0a"
 
+[[package]]
+name = "region"
+version = "3.0.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e6b6ebd13bc009aef9cd476c1310d49ac354d36e240cf1bd753290f3dc7199a7"
+dependencies = [
+ "bitflags 1.3.2",
+ "libc",
+ "mach2",
+ "windows-sys 0.52.0",
+]
+
+[[package]]
+name = "rustc-hash"
+version = "2.1.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6b1e7f9a428571be2dc5bc0505c13fb6bf936822b894ec87abf8a08a4e51742d"
+
 [[package]]
 name = "rustversion"
 version = "1.0.22"
@@ -1887,6 +2158,12 @@ dependencies = [
  "rayon",
 ]
 
+[[package]]
+name = "stable_deref_trait"
+version = "1.2.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6ce2be8dc25455e1f91df71bfa12ad37d7af1092ae736f3a6cd0e37bc7810596"
+
 [[package]]
 name = "statrs"
 version = "0.18.0"
@@ -1927,7 +2204,7 @@ version = "0.6.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "01198a2debb237c62b6826ec7081082d951f46dbb64b0e8c7649a452230d1dfc"
 dependencies = [
- "bitflags",
+ "bitflags 2.11.1",
  "byteorder",
  "enum-as-inner",
  "libc",
@@ -1936,10 +2213,10 @@ dependencies = [
 ]
 
 [[package]]
-name = "tagptr"
-version = "0.2.0"
+name = "target-lexicon"
+version = "0.13.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7b2093cf4c8eb1e67749a6762251bc9cd836b6fc171623bd0a9d324d37af2417"
+checksum = "adb6935a6f5c20170eeceb1a3835a49e12e19d792f6dd344ccc76a985ca5a6ca"
 
 [[package]]
 name = "thiserror"
@@ -2107,17 +2384,6 @@ version = "0.2.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
 
-[[package]]
-name = "uuid"
-version = "1.23.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ddd74a9687298c6858e9b88ec8935ec45d22e8fd5e6394fa1bd4e99a87789c76"
-dependencies = [
- "getrandom 0.4.2",
- "js-sys",
- "wasm-bindgen",
-]
-
 [[package]]
 name = "valuable"
 version = "0.1.1"
@@ -2237,12 +2503,34 @@ version = "0.244.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "47b807c72e1bac69382b3a6fb3dbe8ea4c0ed87ff5629b8685ae6b9a611028fe"
 dependencies = [
- "bitflags",
+ "bitflags 2.11.1",
  "hashbrown 0.15.5",
  "indexmap",
  "semver",
 ]
 
+[[package]]
+name = "wasmtime-internal-core"
+version = "44.0.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "aedd3947487d0afdd37accb981466fcd60571e898004c8955111f88686581dfc"
+dependencies = [
+ "hashbrown 0.16.1",
+ "libm",
+]
+
+[[package]]
+name = "wasmtime-internal-jit-icache-coherence"
+version = "44.0.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "10005b038e662775ac002f233e429447a58892e89918580fa67ce8cdd9192d0a"
+dependencies = [
+ "cfg-if",
+ "libc",
+ "wasmtime-internal-core",
+ "windows-sys 0.61.2",
+]
+
 [[package]]
 name = "web-time"
 version = "1.1.0"
@@ -2293,13 +2581,22 @@ version = "0.42.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "5a3e1820f08b8513f676f7ab6c1f99ff312fb97b553d30ff4dd86f9f15728aa7"
 dependencies = [
- "windows_aarch64_gnullvm",
- "windows_aarch64_msvc",
- "windows_i686_gnu",
- "windows_i686_msvc",
- "windows_x86_64_gnu",
- "windows_x86_64_gnullvm",
- "windows_x86_64_msvc",
+ "windows_aarch64_gnullvm 0.42.2",
+ "windows_aarch64_msvc 0.42.2",
+ "windows_i686_gnu 0.42.2",
+ "windows_i686_msvc 0.42.2",
+ "windows_x86_64_gnu 0.42.2",
+ "windows_x86_64_gnullvm 0.42.2",
+ "windows_x86_64_msvc 0.42.2",
+]
+
+[[package]]
+name = "windows-sys"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "282be5f36a8ce781fad8c8ae18fa3f9beff57ec1b52cb3de0789201425d9a33d"
+dependencies = [
+ "windows-targets",
 ]
 
 [[package]]
@@ -2311,48 +2608,112 @@ dependencies = [
  "windows-link",
 ]
 
+[[package]]
+name = "windows-targets"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9b724f72796e036ab90c1021d4780d4d3d648aca59e491e6b98e725b84e99973"
+dependencies = [
+ "windows_aarch64_gnullvm 0.52.6",
+ "windows_aarch64_msvc 0.52.6",
+ "windows_i686_gnu 0.52.6",
+ "windows_i686_gnullvm",
+ "windows_i686_msvc 0.52.6",
+ "windows_x86_64_gnu 0.52.6",
+ "windows_x86_64_gnullvm 0.52.6",
+ "windows_x86_64_msvc 0.52.6",
+]
+
 [[package]]
 name = "windows_aarch64_gnullvm"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "597a5118570b68bc08d8d59125332c54f1ba9d9adeedeef5b99b02ba2b0698f8"
 
+[[package]]
+name = "windows_aarch64_gnullvm"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "32a4622180e7a0ec044bb555404c800bc9fd9ec262ec147edd5989ccd0c02cd3"
+
 [[package]]
 name = "windows_aarch64_msvc"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "e08e8864a60f06ef0d0ff4ba04124db8b0fb3be5776a5cd47641e942e58c4d43"
 
+[[package]]
+name = "windows_aarch64_msvc"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "09ec2a7bb152e2252b53fa7803150007879548bc709c039df7627cabbd05d469"
+
 [[package]]
 name = "windows_i686_gnu"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "c61d927d8da41da96a81f029489353e68739737d3beca43145c8afec9a31a84f"
 
+[[package]]
+name = "windows_i686_gnu"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8e9b5ad5ab802e97eb8e295ac6720e509ee4c243f69d781394014ebfe8bbfa0b"
+
+[[package]]
+name = "windows_i686_gnullvm"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0eee52d38c090b3caa76c563b86c3a4bd71ef1a819287c19d586d7334ae8ed66"
+
 [[package]]
 name = "windows_i686_msvc"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "44d840b6ec649f480a41c8d80f9c65108b92d89345dd94027bfe06ac444d1060"
 
+[[package]]
+name = "windows_i686_msvc"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "240948bc05c5e7c6dabba28bf89d89ffce3e303022809e73deaefe4f6ec56c66"
+
 [[package]]
 name = "windows_x86_64_gnu"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "8de912b8b8feb55c064867cf047dda097f92d51efad5b491dfb98f6bbb70cb36"
 
+[[package]]
+name = "windows_x86_64_gnu"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "147a5c80aabfbf0c7d901cb5895d1de30ef2907eb21fbbab29ca94c5b08b1a78"
+
 [[package]]
 name = "windows_x86_64_gnullvm"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "26d41b46a36d453748aedef1486d5c7a85db22e56aff34643984ea85514e94a3"
 
+[[package]]
+name = "windows_x86_64_gnullvm"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "24d5b23dc417412679681396f2b49f3de8c1473deb516bd34410872eff51ed0d"
+
 [[package]]
 name = "windows_x86_64_msvc"
 version = "0.42.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9aec5da331524158c6d1a4ac0ab1541149c0b9505fde06423b02f5ef0106b9f0"
 
+[[package]]
+name = "windows_x86_64_msvc"
+version = "0.52.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
+
 [[package]]
 name = "wit-bindgen"
 version = "0.51.0"
@@ -2417,7 +2778,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9d66ea20e9553b30172b5e831994e35fbde2d165325bec84fc43dbf6f4eb9cb2"
 dependencies = [
  "anyhow",
- "bitflags",
+ "bitflags 2.11.1",
  "indexmap",
  "log",
  "serde",
diff --git a/Cargo.toml b/Cargo.toml
index 9e3b68877..30cfb6125 100755
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,9 +1,7 @@
 [workspace]
 resolver = "2"
 
-members = [
-    "src/rust",
-]
+members = ["src/rust"]
 
 exclude = [
     "inst/template",
diff --git a/DESCRIPTION b/DESCRIPTION
index 710d7da7b..d6f64a3d6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -80,7 +80,7 @@ Suggests:
 VignetteBuilder: 
     knitr
 Config/Needs/website: r-lib/pkgdown, quarto
-Config/rextendr/version: 0.4.2
+Config/rextendr/version: 0.5.0
 Config/roxygen2/version: 8.0.0
 Config/testthat/edition: 3
 Encoding: UTF-8
@@ -88,4 +88,3 @@ LazyData: true
 LazyDataCompression: xz
 Roxygen: list(markdown = TRUE)
 SystemRequirements: Cargo (>= 1.82) (Rust's package manager), rustc
-
diff --git a/NAMESPACE b/NAMESPACE
index dfd0b09b8..b9a175e77 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -102,11 +102,9 @@ export(clear_build)
 export(cli_ask)
 export(cli_df)
 export(click_plot)
-export(compile_model)
 export(cor2cov)
 export(create_pmetrics_project)
 export(downloadR)
-export(dummy_compile)
 export(export_plotly)
 export(fit)
 export(getCov)
@@ -115,7 +113,6 @@ export(getFixedColNum)
 export(getPMoptions)
 export(getPalettes)
 export(interp)
-export(is_cargo_installed)
 export(latestR)
 export(lit_sim)
 export(makeAUC)
@@ -151,7 +148,6 @@ export(simulate_one)
 export(ss.PK)
 export(sub_plot)
 export(template)
-export(temporary_path)
 export(three_comp_bolus)
 export(three_comp_bolus_cl)
 export(three_comp_iv)
diff --git a/R/PM_model.R b/R/PM_model.R
index 71e442d4b..6c0471796 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -83,8 +83,12 @@ PM_model <- R6::R6Class(
     model_list = NULL,
     #' @field arg_list A list containing the original arguments passed to the model
     arg_list = NULL,
-    #' @field binary_path The full path and filename of the compiled model
+    #' @field binary_path Deprecated. Retained as `NULL` for backward compatibility;
+    #' models are no longer compiled to a binary. See the `dsl` field.
     binary_path = NULL,
+    #' @field dsl The model definition rendered as pharmsol DSL source, used by the
+    #' Rust backend to JIT-compile the model at run time.
+    dsl = NULL,
     #' @description
     #' This is the method to create a new `PM_model` object.
     #'
@@ -436,7 +440,7 @@ PM_model <- R6::R6Class(
             }
           })
           self$arg_list$x <- NULL
-          self$binary_path <- x$binary_path
+          self$dsl <- x$dsl
         } else {
           cli::cli_abort(c(
             "x" = "Non supported input for {.arg x}: {typeof(x)}",
@@ -738,6 +742,22 @@ PM_model <- R6::R6Class(
       if (length(self$arg_list$err) != n_out) {
         msg <- c(msg, "There must be one error model for each output equation.")
       }
+      # Validate the output equation (`outeq`) each error model is declared for.
+      if (!is.null(self$arg_list$err) && length(self$arg_list$err) > 0) {
+        err_outeqs <- purrr::map_dbl(self$arg_list$err, \(e) {
+          if (inherits(e, "PM_err") && !is.null(e$outeq)) as.numeric(e$outeq) else NA_real_
+        })
+        if (any(is.na(err_outeqs)) || any(err_outeqs %% 1 != 0) || any(err_outeqs < 1)) {
+          msg <- c(msg, "Each error model must declare a positive integer {.arg outeq} (the output equation it applies to).")
+        } else {
+          if (any(err_outeqs > n_out)) {
+            msg <- c(msg, "Error model {.arg outeq} values must be between 1 and the number of outputs ({n_out}).")
+          }
+          if (anyDuplicated(err_outeqs) > 0) {
+            msg <- c(msg, "Each output equation may have only one error model; duplicate {.arg outeq} values were found.")
+          }
+        }
+      }
       err <- self$arg_list$err
 
       # name
@@ -1378,7 +1398,9 @@ PM_model <- R6::R6Class(
       suppressWarnings(
         saveRDS(list(data = data, model = self), file = normalizePath(file.path(path_run, "inputs", "fit.rds"), mustWork = FALSE))
       )
-      file.copy(self$binary_path, normalizePath(file.path(path_run, "inputs"), mustWork = FALSE))
+      # Persist the DSL source alongside the run inputs for reproducibility.
+      if (is.null(self$dsl)) self$compile(quiet = TRUE)
+      writeLines(self$dsl, normalizePath(file.path(path_run, "inputs", "model.txt"), mustWork = FALSE))
 
       # Get ranges and calculate points
       ranges <- lapply(self$model_list$pri, function(x) {
@@ -1403,7 +1425,7 @@ PM_model <- R6::R6Class(
         fit_call <- function() {
           fit(
             # defined in extendr-wrappers.R
-            model_path = normalizePath(self$binary_path),
+            model_source = self$dsl,
             data = normalizePath(file.path(path_run, "inputs", "gendata.csv")),
             params = list(
               ranges = ranges, # not important but needed for POSTPROB
@@ -1416,8 +1438,7 @@ PM_model <- R6::R6Class(
               points = points, # only relevant for sobol prior
               seed = seed
             ),
-            output_path = out_path,
-            kind = tolower(self$model_list$type)
+            output_path = out_path
           )
         }
         rlang::try_fetch(
@@ -1556,44 +1577,39 @@ PM_model <- R6::R6Class(
       temp_csv <- tempfile(fileext = ".csv")
       data$save(temp_csv, header = FALSE)
 
-      if (is.null(self$binary_path)) {
+      if (is.null(self$dsl)) {
         self$compile(quiet = quiet)
-        if (is.null(self$binary_path)) {
-          cli::cli_abort(c("x" = "Model must be compiled before simulating."))
+        if (is.null(self$dsl)) {
+          cli::cli_abort(c("x" = "Model must be prepared before simulating."))
         }
       }
-      sim <- simulate_all(temp_csv, self$binary_path, theta, kind = tolower(self$model_list$type))
+      sim <- simulate_all(temp_csv, self$dsl, theta)
 
       return(sim)
     },
     #' @description
-    #' Compile the model to a binary file.
+    #' Render the model to pharmsol DSL source.
     #' @details
-    #' This method write the model to a Rust file in a temporary path,
-    #' updates the `binary_path` field for the model, and compiles that
-    #' file to a binary file that can be used for fitting or simulation.
-    #' @param quiet Logical, if TRUE, suppresses messages during compilation.
+    #' This method generates the pharmsol DSL representation of the model and
+    #' stores it in the `dsl` field. The Rust backend JIT-compiles this source at
+    #' run time, so no Rust toolchain or separate compilation step is required.
+    #' The method name is retained for backward compatibility.
+    #' @param quiet Logical, if TRUE, suppresses messages.
     #'
     compile = function(quiet = FALSE) {
-      if (!is.null(self$binary_path) && file.exists(self$binary_path)) {
-        # model is compiled
-        return(invisible(NULL))
+      if (!is.null(self$dsl)) {
+        # already rendered
+        return(invisible(self))
       }
 
-      model_path <- file.path(tempdir(), "model.rs")
-      private$write_model_to_rust(model_path)
-      output_path <- tempfile(pattern = "model_", fileext = ".pmx")
-      if (!quiet) cli::cli_inform(c("i" = "Compiling model..."))
-      # path inside Pmetrics package
-      template_path <- resolve_template_path()
+      if (!quiet) cli::cli_inform(c("i" = "Preparing model..."))
       tryCatch(
         {
-          compile_model(model_path, output_path, private$get_primary(), template_path, kind = tolower(self$model_list$type))
-          self$binary_path <- output_path
+          self$dsl <- model_to_dsl(self)
         },
         error = function(e) {
           cli::cli_abort(
-            c("x" = "Model compilation failed: {e$message}", "i" = "Please check the model file and try again.")
+            c("x" = "Model preparation failed: {conditionMessage(e)}", "i" = "Please check the model definition and try again.")
           )
         }
       )
@@ -1920,7 +1936,7 @@ PM_model <- R6::R6Class(
 
       coeff_fxns <- err[-1] |>
         purrr::imap(\(x, idx) {
-          glue::glue("{err_type}({gamlam_value}, c({x}), {const_coeff[{idx}]})")
+          glue::glue("{err_type}({gamlam_value}, c({x}), {const_coeff[{idx}]}, outeq = {idx})")
         }) |>
         unlist()
 
@@ -2031,9 +2047,12 @@ ode_solver_to_rust <- function(solver) {
 #' @param initial Initial value for lambda
 #' @param coeff Vector of coefficients defining assay error polynomial
 #' @param fixed Estimate if `FALSE` (default).
+#' @param outeq The output equation number (1-based) this error model applies to.
+#' Defaults to `1`. This must match the output index used in the model's `out`
+#' block, e.g. `outeq = 2` corresponds to `Y[2]`.
 #' @export
-additive <- function(initial, coeff, fixed = FALSE) {
-  PM_err$new(type = "additive", initial = initial, coeff = coeff, fixed = fixed)
+additive <- function(initial, coeff, fixed = FALSE, outeq = 1) {
+  PM_err$new(type = "additive", initial = initial, coeff = coeff, fixed = fixed, outeq = outeq)
 }
 
 
@@ -2045,9 +2064,12 @@ additive <- function(initial, coeff, fixed = FALSE) {
 #' @param initial Initial value for gamma
 #' @param coeff Vector of coefficients defining assay error polynomial
 #' @param fixed Estimate if `FALSE` (default).
+#' @param outeq The output equation number (1-based) this error model applies to.
+#' Defaults to `1`. This must match the output index used in the model's `out`
+#' block, e.g. `outeq = 2` corresponds to `Y[2]`.
 #' @export
-proportional <- function(initial, coeff, fixed = FALSE) {
-  PM_err$new(type = "proportional", initial = initial, coeff = coeff, fixed = fixed)
+proportional <- function(initial, coeff, fixed = FALSE, outeq = 1) {
+  PM_err$new(type = "proportional", initial = initial, coeff = coeff, fixed = fixed, outeq = outeq)
 }
 
 PM_err <- R6::R6Class(
@@ -2061,21 +2083,24 @@ PM_err <- R6::R6Class(
     coeff = NULL,
     #' @field fixed If `TRUE`, the error model is fixed and not estimated.
     fixed = NULL,
-    initialize = function(type, initial, coeff, fixed) {
+    #' @field outeq The output equation number (1-based) the error model applies to.
+    outeq = NULL,
+    initialize = function(type, initial, coeff, fixed, outeq = 1) {
       self$type <- type
       self$initial <- initial
       self$coeff <- coeff
       self$fixed <- fixed
+      self$outeq <- outeq
     },
     print = function() {
       if (self$fixed) {
-        cli::cli_text("{.strong {tools::toTitleCase(self$type)}}, with fixed value of {.emph {self$initial}} and coefficients {.emph {paste(self$coeff, collapse = ', ')}}.")
+        cli::cli_text("{.strong {tools::toTitleCase(self$type)}} (output {self$outeq}), with fixed value of {.emph {self$initial}} and coefficients {.emph {paste(self$coeff, collapse = ', ')}}.")
       } else {
-        cli::cli_text("{.strong {tools::toTitleCase(self$type)}}, with initial value of {.emph {self$initial}} and coefficients {.emph {paste(self$coeff, collapse = ', ')}}.")
+        cli::cli_text("{.strong {tools::toTitleCase(self$type)}} (output {self$outeq}), with initial value of {.emph {self$initial}} and coefficients {.emph {paste(self$coeff, collapse = ', ')}}.")
       }
     },
     flatten = function() {
-      list(initial = self$initial, coeff = self$coeff, type = self$type, fixed = self$fixed)
+      list(initial = self$initial, coeff = self$coeff, type = self$type, fixed = self$fixed, outeq = self$outeq)
     }
   )
 )
diff --git a/R/PM_result.R b/R/PM_result.R
index 58de22af2..371537d7a 100755
--- a/R/PM_result.R
+++ b/R/PM_result.R
@@ -392,50 +392,10 @@ PM_load <- function(run, path = ".", file = "PMout.Rdata") {
     result <- output2List(Out = get(load(found)))
     rebuild <- PM_result$new(result, path = dirname(found), quiet = TRUE)
 
-    inputs_dir <- normalizePath(file.path(dirname(found), "..", "inputs"), mustWork = FALSE)
-    inputs_binaries <- if (dir.exists(inputs_dir)) {
-      list.files(inputs_dir, pattern = "\\.pmx$", full.names = TRUE)
-    } else {
-      character(0)
-    }
-
-    if (inherits(rebuild$model, "PM_model")) {
-      is_valid_path <- function(x) {
-        is.character(x) && length(x) == 1 && !is.na(x) && nzchar(x)
-      }
-
-      # Prefer the binary path stored in the saved result (model_binary_path);
-      # fall back to the model's current binary_path field if not available.
-      target_binary_path <- result$model_binary_path
-      if (!is_valid_path(target_binary_path)) {
-        target_binary_path <- rebuild$model$binary_path
-      }
-
-      if (length(inputs_binaries) > 0) {
-        source_binary <- inputs_binaries[1]
-        if (is_valid_path(target_binary_path)) {
-          preferred_source <- normalizePath(file.path(inputs_dir, basename(target_binary_path)), mustWork = FALSE)
-          if (file.exists(preferred_source)) {
-            source_binary <- preferred_source
-          }
-        }
-
-        if (is_valid_path(target_binary_path)) {
-          target_binary_path <- normalizePath(target_binary_path, mustWork = FALSE)
-          copied <- tryCatch(
-            {
-              dir.create(dirname(target_binary_path), recursive = TRUE, showWarnings = FALSE)
-              isTRUE(file.copy(source_binary, target_binary_path, overwrite = TRUE))
-            },
-            error = function(e) FALSE
-          )
-          rebuild$model$binary_path <- if (copied) target_binary_path else source_binary
-        } else {
-          rebuild$model$binary_path <- source_binary
-        }
-      } else {
-        rebuild$model$binary_path <- NULL
-      }
+    # Ensure the rebuilt model carries its pharmsol DSL source so it can be
+    # re-simulated without recompilation. Older results may not have stored it.
+    if (inherits(rebuild$model, "PM_model") && is.null(rebuild$model$dsl)) {
+      rebuild$model$dsl <- tryCatch(model_to_dsl(rebuild$model), error = function(e) NULL)
     }
 
     return(rebuild)
diff --git a/R/PMbuild.R b/R/PMbuild.R
old mode 100755
new mode 100644
index 1d957b86e..cf3884f18
--- a/R/PMbuild.R
+++ b/R/PMbuild.R
@@ -1,63 +1,22 @@
 #' @title Build Pmetrics
 #' @description
-#' `r lifecycle::badge("stable")`
+#' `r lifecycle::badge("deprecated")`
 #'
-#' Compile Rust source code used by Pmetrics.
+#' Building Pmetrics is no longer required. Models are now written in the
+#' pharmsol DSL and compiled just-in-time by the bundled Rust backend, so there
+#' is no separate compilation step and no Rust toolchain is needed.
 #'
-#' @author Michael Neely and Julian Otalvaro
-#' @description
-#' `r lifecycle::badge("stable")`
-#'
-#' Compile Rust source code used by Pmetrics.
+#' This function is retained so that existing scripts continue to run; it simply
+#' informs the user that no action is necessary.
 #'
 #' @author Michael Neely and Julian Otalvaro
+#' @return Invisibly returns `NULL`.
 #' @export
 
-
 PM_build <- function() {
-  if (is_rustup_installed()) {
-    cli::cli_text("Rust was detected in your system, Fetching dependencies and building base project.")
-    template_path <- resolve_template_path()
-    dummy_compile(template_path = template_path)
-  } else {
-    cli::cli_text("Rust was not detected in your system, this can be caused by multiple reasons:")
-    ul <- cli::cli_ul()
-    cli::cli_li("You have not installed rustup in your system, Follow the installation instructions at https://www.rust-lang.org/tools/install")
-    cli::cli_li("You might have rustup installed in your system but your $PATH has not been updated (Windows), try closing and re-opening your R session, and/or Rstudio/Positron.")
-    cli::cli_li("If you are using linux/MacOS and this error persists after installing rust, try using this command in your terminal: {.code sudo ln -s ~/.cargo/bin/* /usr/local/sbin}")
-    cli::cli_end(ul)
-    cli::cli_text("If this error persists, please refer to our discussions website: https://github.com/LAPKB/Pmetrics/discussions.")
-  }
-}
-
-resolve_template_path <- function() {
-  package_path <- system.file(package = "Pmetrics")
-  in_check <- nzchar(Sys.getenv("_R_CHECK_PACKAGE_NAME_"))
-  in_development <- Sys.getenv("env") == "Development"
-  in_cargo_workspace <- nzchar(package_path) && file.exists(file.path(package_path, "Cargo.toml"))
-
-  if (in_development || in_check || in_cargo_workspace) {
-    return(file.path(temporary_path(), "template"))
-  }
-
-  package_path
-}
-
-is_rustup_installed <- function() {
-  flag <- is_cargo_installed()
-  # Sometimes R does not find rustup even if it is installed,
-  # Fix: create a symlink to any of the folders watched by system("echo $PATH")
-  # sudo ln -s ~/.cargo/bin/* /usr/local/sbin
-  # for rustup and cargo
-  # We cannot do it automatically because it requires elevated permissions
-  return(flag)
-}
-is_rustup_installed <- function() {
-  flag <- is_cargo_installed()
-  # Sometimes R does not find rustup even if it is installed,
-  # Fix: create a symlink to any of the folders watched by system("echo $PATH")
-  # sudo ln -s ~/.cargo/bin/* /usr/local/sbin
-  # for rustup and cargo
-  # We cannot do it automatically because it requires elevated permissions
-  return(flag)
+  cli::cli_inform(c(
+    "i" = "{.fn PM_build} is no longer required.",
+    " " = "Models are compiled just-in-time from the pharmsol DSL, so no Rust toolchain or build step is needed."
+  ))
+  invisible(NULL)
 }
diff --git a/R/extendr-wrappers.R b/R/extendr-wrappers.R
old mode 100755
new mode 100644
index 846834596..3a95e6344
--- a/R/extendr-wrappers.R
+++ b/R/extendr-wrappers.R
@@ -10,74 +10,40 @@
 #' @useDynLib Pmetrics, .registration = TRUE
 NULL
 
-#' Simulates the first subject in the data set using the model at the given path.
+#' Simulates the first subject in the data set using the given model.
 #' @param data_path Path to the data file.
-#' @param model_path Path to the compiled model file.
-#' @param spp One support point as a numeric vector with probabiltity.
-#' @param kind Kind of model, which can either be "ODE" or "Analytical".
+#' @param model_source Model definition written in the pharmsol DSL.
+#' @param spp One support point as a numeric vector.
 #' @return Simulation results.
 #' @keywords internal
 #' @export
-simulate_one <- function(data_path, model_path, spp, kind) .Call(wrap__simulate_one, data_path, model_path, spp, kind)
+simulate_one <- function(data_path, model_source, spp) .Call(wrap__simulate_one, data_path, model_source, spp)
 
-#' Simulates all subjects in the data set using the model at the given path.
+#' Simulates all subjects in the data set using the given model.
 #' @param data_path Path to the data file.
-#' @param model_path Path to the compiled model file.
+#' @param model_source Model definition written in the pharmsol DSL.
 #' @param theta Data frame of support points.
-#' @param kind Kind of model, which can either be "ODE" or "Analytical".
 #' @return Simulation results.
 #' @keywords internal
 #' @export
-simulate_all <- function(data_path, model_path, theta, kind) .Call(wrap__simulate_all, data_path, model_path, theta, kind)
+simulate_all <- function(data_path, model_source, theta) .Call(wrap__simulate_all, data_path, model_source, theta)
 
-#' Compiles the text representation of a model into a binary file.
-#' @param model_path Path to the model file.
-#' @param output_path Path to save the compiled model.
-#' @param params List of model parameters.
-#' @param template_path Path to the template directory.
-#' @param kind Kind of model, which can either be "ODE" or "Analytical".
-#' @return Result of the compilation process.
-#' @keywords internal
-#' @export
-compile_model <- function(model_path, output_path, params, template_path, kind) .Call(wrap__compile_model, model_path, output_path, params, template_path, kind)
-
-#' Dummy function to cache compilation artifacts.
-#' @param template_path Path to the template directory.
-#' @return Path to the build directory.
-#' @keywords internal
-#' @export
-dummy_compile <- function(template_path) .Call(wrap__dummy_compile, template_path)
-
-#' Checks if Cargo is installed on the system.
-#' @return TRUE if Cargo is installed, FALSE otherwise.
-#' @keywords internal
-#' @export
-is_cargo_installed <- function() .Call(wrap__is_cargo_installed)
-
-#' Fits the model at the given path to the data at the given path using the provided parameters.
-#' @param model_path Path to the compiled model file.
+#' Fits the given model to the data using the provided settings.
+#' @param model_source Model definition written in the pharmsol DSL.
 #' @param data Path to the data file.
 #' @param params List of fitting parameters.
 #' @param output_path Path to save the fitting results.
-#' @param kind Kind of model, which can either be "ODE" or "Analytical".
 #' @return Result of the fitting process.
 #' @keywords internal
 #' @export
-fit <- function(model_path, data, params, output_path, kind) .Call(wrap__fit, model_path, data, params, output_path, kind)
+fit <- function(model_source, data, params, output_path) .Call(wrap__fit, model_source, data, params, output_path)
 
-#' Retrieves the model parameters from the compiled model at the given path.
-#' @param model_path Path to the compiled model file.
-#' @param kind Kind of model, which can either be "ODE" or "Analytical".
+#' Retrieves the model parameters from the given model.
+#' @param model_source Model definition written in the pharmsol DSL.
 #' @return List of model parameters.
 #' @keywords internal
 #' @export
-model_parameters <- function(model_path, kind) .Call(wrap__model_parameters, model_path, kind)
-
-#' Retrieves the temporary path used for building models.
-#' @return Temporary build path.
-#' @keywords internal
-#' @export
-temporary_path <- function() .Call(wrap__temporary_path)
+model_parameters <- function(model_source) .Call(wrap__model_parameters, model_source)
 
 #' Initialize the tracing subscriber with the custom R formatter
 #' @keywords internal
diff --git a/R/model_dsl.R b/R/model_dsl.R
new file mode 100644
index 000000000..0de859095
--- /dev/null
+++ b/R/model_dsl.R
@@ -0,0 +1,563 @@
+# R-to-DSL emitter for Pmetrics models (pharmsol DSL).
+#
+# ---------------------------------------------------------------------------
+# Overview
+# ---------------------------------------------------------------------------
+# Historically, Pmetrics translated model blocks into Rust source code that was
+# compiled with `cargo` into a shared library. As of the pharmsol DSL backend,
+# models are instead emitted as a small text description in the pharmsol DSL and
+# JIT-compiled at run time inside the `pm_rs` Rust library. This removes the need
+# for a Rust toolchain on the user's machine.
+#
+# This file converts the R model definition (stored in `model$arg_list`) into the
+# pharmsol DSL "authoring shorthand". The DSL expression grammar is very close to
+# R: mathematical functions use call syntax (`exp(x)`, `ln(x)`, `sqrt(x)`), the
+# `^` operator is supported for powers, and `&&`/`||` are used for logical AND/OR.
+#
+# Naming conventions used by the emitter:
+#   * States   `x[i]`            -> `x{i}`          (declared in `states = ...`)
+#   * Outputs  `Y[i]` / `y[i]`   -> `outeq_{i-1}`   (declared in `outputs = ...`)
+#   * Inputs   `b[j]`/`bolus[j]` -> `bolus(input_{j-1}) -> x{k}`   (route)
+#              `rateiv[j]`/`r[j]`-> `infusion(input_{j-1}) -> x{k}`(route)
+#   * Params / covariates keep their (lower-cased) names.
+#
+# Infusions and boluses are declared as routes into the compartment in which they
+# appear in the derivative equations; the corresponding `rateiv[j]`/`b[j]` terms
+# are stripped from the derivative because the DSL runtime injects them
+# automatically from the route declaration.
+# ---------------------------------------------------------------------------
+
+# The set of DSL intrinsic functions and how R names map to them. R names that
+# are not present here (e.g. hyperbolic or inverse-trigonometric functions) are
+# not currently expressible in the DSL and trigger an informative error.
+dsl_function_map <- function() {
+  c(
+    abs = "abs", exp = "exp", sqrt = "sqrt",
+    ln = "ln", log = "ln", log10 = "log10", log2 = "log2",
+    sin = "sin", cos = "cos", tan = "tan",
+    floor = "floor", ceiling = "ceil", round = "round",
+    max = "max", min = "min"
+  )
+}
+
+# Convert a pure R expression (no assignments or blocks) to a DSL expression.
+expr_to_dsl <- function(expr) {
+  # Numeric literals: emit integers with a trailing `.0` so the DSL treats them
+  # as floating point, matching the Rust transpiler's behaviour.
+  if (is.numeric(expr) && length(expr) == 1) {
+    val <- expr
+    if (is.finite(val) && val == floor(val)) {
+      return(sprintf("%d.0", as.integer(val)))
+    }
+    return(as.character(val))
+  }
+  if (is.symbol(expr)) {
+    return(tolower(as.character(expr)))
+  }
+  if (!is.call(expr)) {
+    cli::cli_abort("Unable to convert model expression to DSL: unsupported token.")
+  }
+
+  op <- as.character(expr[[1]])
+
+  # Indexing: x[i] -> x{i}. Only literal, positive integer indices are allowed.
+  if (op == "[") {
+    var <- tolower(as.character(expr[[2]]))
+    idx_raw <- expr[[3]]
+    if (!(is.numeric(idx_raw) && length(idx_raw) == 1)) {
+      cli::cli_abort(c(
+        "x" = "Dynamic (non-literal) indices are not supported in the DSL backend.",
+        "i" = "Use literal indices such as {.code x[1]}."
+      ))
+    }
+    idx <- as.integer(idx_raw)
+    if (var %in% c("b", "bolus", "rateiv", "r")) {
+      cli::cli_abort(c(
+        "x" = "Bolus/infusion inputs may only be used as standalone additive terms in derivative equations.",
+        "i" = "Write, for example, {.code dx[1] = -ke * x[1] + rateiv[1]}, not inside a product."
+      ))
+    }
+    return(sprintf("%s%d", var, idx))
+  }
+
+  args <- as.list(expr[-1])
+  a <- lapply(args, expr_to_dsl)
+
+  fmap <- dsl_function_map()
+
+  out <- switch(op,
+    "(" = sprintf("(%s)", a[[1]]),
+    "+" = if (length(a) == 1) sprintf("+(%s)", a[[1]]) else sprintf("%s + %s", a[[1]], a[[2]]),
+    "-" = if (length(a) == 1) sprintf("-(%s)", a[[1]]) else sprintf("(%s) - (%s)", a[[1]], a[[2]]),
+    "*" = sprintf("%s * %s", a[[1]], a[[2]]),
+    "/" = sprintf("%s / %s", a[[1]], a[[2]]),
+    "^" = sprintf("(%s)^(%s)", a[[1]], a[[2]]),
+    "==" = sprintf("%s == %s", a[[1]], a[[2]]),
+    "!=" = sprintf("%s != %s", a[[1]], a[[2]]),
+    ">=" = sprintf("%s >= %s", a[[1]], a[[2]]),
+    "<=" = sprintf("%s <= %s", a[[1]], a[[2]]),
+    ">" = sprintf("%s > %s", a[[1]], a[[2]]),
+    "<" = sprintf("%s < %s", a[[1]], a[[2]]),
+    "&" = sprintf("%s && %s", a[[1]], a[[2]]),
+    "&&" = sprintf("%s && %s", a[[1]], a[[2]]),
+    "|" = sprintf("%s || %s", a[[1]], a[[2]]),
+    "||" = sprintf("%s || %s", a[[1]], a[[2]]),
+    "!" = sprintf("!(%s)", a[[1]]),
+    "if" = {
+      cond <- a[[1]]
+      then_code <- a[[2]]
+      if (length(a) == 3) {
+        sprintf("if %s { %s } else { %s }", cond, then_code, a[[3]])
+      } else {
+        cli::cli_abort(c(
+          "x" = "Conditional expressions in the DSL must include an `else` branch.",
+          "i" = "Write {.code if (cond) a else b}."
+        ))
+      }
+    },
+    {
+      # Function call: look up in the DSL intrinsic map.
+      if (!is.null(fmap[[op]])) {
+        sprintf("%s(%s)", fmap[[op]], paste(unlist(a), collapse = ", "))
+      } else {
+        cli::cli_abort(c(
+          "x" = "Unsupported function {.val {op}} for the DSL backend.",
+          "i" = "Supported functions are: {.val {sort(unique(unname(dsl_function_map())))}}."
+        ))
+      }
+    }
+  )
+  out
+}
+
+# Return the top-level statements of a model block function body.
+dsl_body_stmts <- function(fun) {
+  b <- body(fun)
+  if (is.call(b) && as.character(b[[1]]) == "{") {
+    as.list(b[-1])
+  } else {
+    list(b)
+  }
+}
+
+# Is `expr` an assignment (`<-` or `=`)?
+dsl_is_assign <- function(expr) {
+  is.call(expr) && (identical(expr[[1]], as.name("<-")) || identical(expr[[1]], as.name("=")))
+}
+
+# Flatten an expression into signed additive terms, i.e. a list of
+# `list(sign = +/-1, expr = <expr>)`.
+dsl_flatten_add <- function(expr, sign = 1) {
+  if (is.call(expr) && identical(expr[[1]], as.name("+"))) {
+    if (length(expr) == 3) {
+      return(c(dsl_flatten_add(expr[[2]], sign), dsl_flatten_add(expr[[3]], sign)))
+    }
+    return(dsl_flatten_add(expr[[2]], sign)) # unary +
+  }
+  if (is.call(expr) && identical(expr[[1]], as.name("-"))) {
+    if (length(expr) == 3) {
+      return(c(dsl_flatten_add(expr[[2]], sign), dsl_flatten_add(expr[[3]], -sign)))
+    }
+    return(dsl_flatten_add(expr[[2]], -sign)) # unary -
+  }
+  list(list(sign = sign, expr = expr))
+}
+
+# If `expr` is a route reference (`b[j]`, `bolus[j]`, `rateiv[j]`, `r[j]`),
+# return `list(kind = "bolus"|"infusion", input = j)`, else NULL.
+dsl_route_of <- function(expr) {
+  if (is.call(expr) && as.character(expr[[1]]) == "[") {
+    v <- tolower(as.character(expr[[2]]))
+    idx <- expr[[3]]
+    if (v %in% c("b", "bolus", "rateiv", "r") && is.numeric(idx) && length(idx) == 1) {
+      kind <- if (v %in% c("b", "bolus")) "bolus" else "infusion"
+      return(list(kind = kind, input = as.integer(idx)))
+    }
+  }
+  NULL
+}
+
+# Build a DSL expression string from a list of signed terms.
+dsl_join_terms <- function(terms) {
+  if (length(terms) == 0) {
+    return("0.0")
+  }
+  pieces <- character(0)
+  for (i in seq_along(terms)) {
+    t <- terms[[i]]
+    es <- expr_to_dsl(t$expr)
+    if (i == 1) {
+      pieces <- if (t$sign < 0) sprintf("-(%s)", es) else es
+    } else {
+      pieces <- paste0(pieces, if (t$sign < 0) " - " else " + ", sprintf("(%s)", es))
+    }
+  }
+  pieces
+}
+
+# Convert a derivative RHS into (routes, stripped DSL expression) for the given
+# destination compartment index `comp`.
+dsl_extract_routes <- function(rhs, comp) {
+  terms <- dsl_flatten_add(rhs)
+  routes <- list()
+  kept <- list()
+  for (t in terms) {
+    route <- dsl_route_of(t$expr)
+    if (!is.null(route)) {
+      if (t$sign < 0) {
+        cli::cli_abort(c(
+          "x" = "Bolus/infusion inputs must be added (not subtracted) in derivative equations.",
+          "i" = "Write {.code dx[{comp}] = ... + rateiv[{route$input}]}."
+        ))
+      }
+      route$comp <- comp
+      routes[[length(routes) + 1]] <- route
+    } else {
+      kept[[length(kept) + 1]] <- t
+    }
+  }
+  list(routes = routes, expr = dsl_join_terms(kept))
+}
+
+# Emit the ODE equation block: returns routes, derived assignments, and dx lines.
+dsl_eqn_block <- function(fun) {
+  exprs <- dsl_body_stmts(fun)
+  routes <- list()
+  derived <- character(0)
+  dx_lines <- character(0)
+
+  for (e in exprs) {
+    if (!dsl_is_assign(e)) {
+      cli::cli_abort(c(
+        "x" = "Only assignments are supported in the equation block for the DSL backend.",
+        "i" = "Control-flow constructs such as {.code for} loops are not supported."
+      ))
+    }
+    lhs <- e[[2]]
+    rhs <- e[[3]]
+    if (is.call(lhs) && as.character(lhs[[1]]) == "[") {
+      tgt <- tolower(as.character(lhs[[2]]))
+      idx <- as.integer(lhs[[3]])
+      if (tgt != "dx") {
+        cli::cli_abort("Unexpected indexed assignment to {.code {tgt}[{idx}]} in equation block.")
+      }
+      res <- dsl_extract_routes(rhs, idx)
+      routes <- c(routes, res$routes)
+      dx_lines <- c(dx_lines, sprintf("dx(x%d) = %s", idx, res$expr))
+    } else {
+      # Scalar (secondary/derived) assignment.
+      name <- tolower(as.character(lhs))
+      derived <- c(derived, sprintf("%s = %s", name, expr_to_dsl(rhs)))
+    }
+  }
+
+  list(routes = routes, derived = derived, dx = dx_lines)
+}
+
+# Emit the output block: returns derived assignments and out() lines.
+dsl_out_block <- function(fun) {
+  exprs <- dsl_body_stmts(fun)
+  derived <- character(0)
+  out_lines <- character(0)
+
+  for (e in exprs) {
+    if (!dsl_is_assign(e)) {
+      cli::cli_abort("Only assignments are supported in the output block for the DSL backend.")
+    }
+    lhs <- e[[2]]
+    rhs <- e[[3]]
+    if (is.call(lhs) && as.character(lhs[[1]]) == "[") {
+      tgt <- tolower(as.character(lhs[[2]]))
+      idx <- as.integer(lhs[[3]])
+      if (tgt != "y") {
+        cli::cli_abort("Unexpected indexed assignment to {.code {tgt}[{idx}]} in output block.")
+      }
+      # Pmetrics data uses 1-based OUTEQ labels, so output `y[i]` maps to the
+      # DSL output label `outeq_{i}` (numeric label resolves to index i).
+      out_lines <- c(out_lines, sprintf("out(outeq_%d) = %s", idx, expr_to_dsl(rhs)))
+    } else {
+      name <- tolower(as.character(lhs))
+      derived <- c(derived, sprintf("%s = %s", name, expr_to_dsl(rhs)))
+    }
+  }
+
+  list(derived = derived, out = out_lines)
+}
+
+# Emit `derive` assignments from a secondary-equation block.
+dsl_sec_block <- function(fun) {
+  exprs <- dsl_body_stmts(fun)
+  derived <- character(0)
+  for (e in exprs) {
+    if (!dsl_is_assign(e)) {
+      cli::cli_abort("Only assignments are supported in the secondary block for the DSL backend.")
+    }
+    lhs <- e[[2]]
+    rhs <- e[[3]]
+    if (!is.symbol(lhs)) {
+      cli::cli_abort("Secondary equations must assign to scalar variables.")
+    }
+    derived <- c(derived, sprintf("%s = %s", tolower(as.character(lhs)), expr_to_dsl(rhs)))
+  }
+  derived
+}
+
+# Emit route-property modifiers (`lag(...)` / `fa(...)`) from a lag/fa block.
+# `target` is the DSL property name ("lag" or "fa"); the R block assigns to
+# `lag[j]` / `fa[j]` where `j` is the 1-based input index.
+dsl_route_property_block <- function(fun, target) {
+  exprs <- dsl_body_stmts(fun)
+  derived <- character(0)
+  lines <- character(0)
+  for (e in exprs) {
+    if (!dsl_is_assign(e)) {
+      cli::cli_abort("Only assignments are supported in the {target} block for the DSL backend.")
+    }
+    lhs <- e[[2]]
+    rhs <- e[[3]]
+    if (is.call(lhs) && as.character(lhs[[1]]) == "[") {
+      tgt <- tolower(as.character(lhs[[2]]))
+      idx <- as.integer(lhs[[3]])
+      if (tgt != target) {
+        cli::cli_abort("Unexpected indexed assignment to {.code {tgt}[{idx}]} in {target} block.")
+      }
+      lines <- c(lines, sprintf("%s(input_%d) = %s", target, idx, expr_to_dsl(rhs)))
+    } else {
+      derived <- c(derived, sprintf("%s = %s", tolower(as.character(lhs)), expr_to_dsl(rhs)))
+    }
+  }
+  list(derived = derived, lines = lines)
+}
+
+# Emit `init(...)` statements from an initial-conditions block.
+dsl_ini_block <- function(fun) {
+  exprs <- dsl_body_stmts(fun)
+  derived <- character(0)
+  lines <- character(0)
+  for (e in exprs) {
+    if (!dsl_is_assign(e)) {
+      cli::cli_abort("Only assignments are supported in the initial-conditions block for the DSL backend.")
+    }
+    lhs <- e[[2]]
+    rhs <- e[[3]]
+    if (is.call(lhs) && as.character(lhs[[1]]) == "[") {
+      tgt <- tolower(as.character(lhs[[2]]))
+      idx <- as.integer(lhs[[3]])
+      if (tgt != "x") {
+        cli::cli_abort("Unexpected indexed assignment to {.code {tgt}[{idx}]} in initial-conditions block.")
+      }
+      lines <- c(lines, sprintf("init(x%d) = %s", idx, expr_to_dsl(rhs)))
+    } else {
+      derived <- c(derived, sprintf("%s = %s", tolower(as.character(lhs)), expr_to_dsl(rhs)))
+    }
+  }
+  list(derived = derived, lines = lines)
+}
+
+# Deduplicate routes, keeping declaration order, and detect conflicts (an input
+# used as both bolus and infusion, or targeting different compartments).
+dsl_finalize_routes <- function(routes) {
+  by_input <- list()
+  for (r in routes) {
+    key <- as.character(r$input)
+    if (is.null(by_input[[key]])) {
+      by_input[[key]] <- r
+    } else {
+      prev <- by_input[[key]]
+      if (prev$comp != r$comp) {
+        cli::cli_abort(c(
+          "x" = "Input {r$input} is directed to more than one compartment.",
+          "i" = "Each drug input may target a single compartment in the DSL backend."
+        ))
+      }
+      if (prev$kind != r$kind) {
+        cli::cli_abort(c(
+          "x" = "Input {r$input} is used as both a bolus and an infusion.",
+          "i" = "The DSL backend requires each drug input to be either a bolus or an infusion, not both."
+        ))
+      }
+    }
+  }
+  # Preserve ascending input order for deterministic output.
+  inputs <- sort(as.integer(names(by_input)))
+  lapply(inputs, function(i) by_input[[as.character(i)]])
+}
+
+# Map Pmetrics analytical library template names to DSL analytical structures.
+dsl_analytical_structure <- function(tem) {
+  dplyr::case_when(
+    tem == "one_comp_iv" ~ "one_compartment",
+    tem == "one_comp_iv_cl" ~ "one_compartment_cl",
+    tem == "one_comp_bolus" ~ "one_compartment_with_absorption",
+    tem == "one_comp_bolus_cl" ~ "one_compartment_cl_with_absorption",
+    tem == "two_comp_iv" ~ "two_compartments",
+    tem == "two_comp_iv_cl" ~ "two_compartments_cl",
+    tem == "two_comp_bolus" ~ "two_compartments_with_absorption",
+    tem == "two_comp_bolus_cl" ~ "two_compartments_cl_with_absorption",
+    tem == "three_comp_iv" ~ "three_compartments",
+    tem == "three_comp_iv_cl" ~ "three_compartments_cl",
+    tem == "three_comp_bolus" ~ "three_compartments_with_absorption",
+    tem == "three_comp_bolus_cl" ~ "three_compartments_cl_with_absorption",
+    .default = NA_character_
+  )
+}
+
+# Assemble the full pharmsol DSL text for a PM_model object.
+model_to_dsl <- function(model) {
+  arg_list <- model$arg_list
+  model_list <- model$model_list
+  if (is.null(arg_list) || is.null(model_list)) {
+    cli::cli_abort("Model is not fully defined; cannot generate DSL source.")
+  }
+
+  type <- model_list$type
+  parameters <- tolower(names(arg_list$pri))
+  covariate_names <- tolower(names(arg_list$cov))
+
+  header <- character(0)
+  header <- c(header, sprintf("name = %s", if (is.null(model_list$name)) "user" else model_list$name))
+  header <- c(header, sprintf("kind = %s", if (type == "Analytical") "analytical" else "ode"))
+  header <- c(header, sprintf("params = %s", paste(parameters, collapse = ", ")))
+
+  if (length(covariate_names) > 0) {
+    cov_decls <- vapply(seq_along(covariate_names), function(i) {
+      # arg_list$cov holds 1 for linear interpolation, 0 for carry-forward.
+      if (isTRUE(unname(arg_list$cov[i]) == 0)) {
+        paste0(covariate_names[i], "@carry_forward")
+      } else {
+        covariate_names[i]
+      }
+    }, character(1))
+    header <- c(header, sprintf("covariates = %s", paste(cov_decls, collapse = ", ")))
+  }
+
+  # Derived (secondary) equations shared across blocks.
+  derived <- character(0)
+  if (!is.null(arg_list$sec)) {
+    derived <- c(derived, dsl_sec_block(arg_list$sec))
+  }
+
+  if (type == "Analytical") {
+    return(dsl_analytical(model, header, derived, parameters))
+  }
+
+  # ---- ODE model ----
+  eqn <- dsl_eqn_block(arg_list$eqn)
+  derived <- c(derived, eqn$derived)
+
+  out <- dsl_out_block(arg_list$out)
+  derived <- c(derived, out$derived)
+
+  init_lines <- character(0)
+  if (!is.null(arg_list$ini)) {
+    ini <- dsl_ini_block(arg_list$ini)
+    derived <- c(derived, ini$derived)
+    init_lines <- ini$lines
+  }
+
+  lag_lines <- character(0)
+  if (!is.null(arg_list$lag)) {
+    lag <- dsl_route_property_block(arg_list$lag, "lag")
+    derived <- c(derived, lag$derived)
+    lag_lines <- lag$lines
+  }
+
+  fa_lines <- character(0)
+  if (!is.null(arg_list$fa)) {
+    fa <- dsl_route_property_block(arg_list$fa, "fa")
+    derived <- c(derived, fa$derived)
+    fa_lines <- fa$lines
+  }
+
+  # Number of states and outputs.
+  n_states <- max(
+    get_max_assignment_index(arg_list$eqn, "dx"),
+    get_max_index(arg_list$eqn, "x"),
+    if (!is.null(arg_list$ini)) get_max_index(arg_list$ini, "x") else 0L,
+    get_max_index(arg_list$out, "x")
+  )
+  n_out <- get_max_assignment_index(arg_list$out, "y")
+
+  states <- paste0("x", seq_len(n_states))
+  outputs <- paste0("outeq_", seq_len(n_out))
+
+  routes <- dsl_finalize_routes(eqn$routes)
+  # Pmetrics data uses 1-based INPUT labels, so drug input `j` maps to the DSL
+  # route label `input_{j}` (numeric label resolves to index j).
+  route_lines <- vapply(routes, function(r) {
+    sprintf("%s(input_%d) -> x%d", r$kind, r$input, r$comp)
+  }, character(1))
+
+  # Assemble the DSL text in an order that respects definite assignment:
+  # declarations, routes, derived values, route properties, initial conditions,
+  # derivatives, and finally outputs.
+  lines <- c(
+    header,
+    sprintf("states = %s", paste(states, collapse = ", ")),
+    sprintf("outputs = %s", paste(outputs, collapse = ", ")),
+    "",
+    route_lines,
+    if (length(route_lines) > 0) "" else NULL,
+    derived,
+    if (length(derived) > 0) "" else NULL,
+    lag_lines,
+    fa_lines,
+    if (length(lag_lines) > 0 || length(fa_lines) > 0) "" else NULL,
+    init_lines,
+    if (length(init_lines) > 0) "" else NULL,
+    eqn$dx,
+    "",
+    out$out
+  )
+
+  paste(lines, collapse = "\n")
+}
+
+# Assemble DSL text for an analytical (library-structure) model.
+dsl_analytical <- function(model, header, derived, parameters) {
+  arg_list <- model$arg_list
+  template <- model$arg_list$tem
+  if (is.null(template)) {
+    template <- attr(model, "model_template")
+  }
+  tem_name <- model$model_list$name
+  structure <- dsl_analytical_structure(tem_name)
+  if (is.na(structure)) {
+    cli::cli_abort(c(
+      "x" = "Analytical model template {.val {tem_name}} is not supported by the DSL backend.",
+      "i" = "See {.fn model_lib} for supported templates."
+    ))
+  }
+
+  out <- dsl_out_block(arg_list$out)
+  derived <- c(derived, out$derived)
+
+  # Determine the number of compartments the structure requires.
+  n_states <- dsl_analytical_state_count(structure)
+  states <- paste0("x", seq_len(n_states))
+  n_out <- get_max_assignment_index(arg_list$out, "y")
+  outputs <- paste0("outeq_", seq_len(n_out))
+
+  lines <- c(
+    header,
+    sprintf("structure = %s", structure),
+    sprintf("states = %s", paste(states, collapse = ", ")),
+    sprintf("outputs = %s", paste(outputs, collapse = ", ")),
+    "",
+    derived,
+    if (length(derived) > 0) "" else NULL,
+    out$out
+  )
+
+  paste(lines, collapse = "\n")
+}
+
+# Number of states (compartments) for a DSL analytical structure.
+dsl_analytical_state_count <- function(structure) {
+  dplyr::case_when(
+    stringr::str_starts(structure, "one_compartment") ~ 1L + as.integer(stringr::str_detect(structure, "absorption")),
+    stringr::str_starts(structure, "two_compartments") ~ 2L + as.integer(stringr::str_detect(structure, "absorption")),
+    stringr::str_starts(structure, "three_compartments") ~ 3L + as.integer(stringr::str_detect(structure, "absorption")),
+    .default = NA_integer_
+  )
+}
diff --git a/man/PM_build.Rd b/man/PM_build.Rd
index 70603d517..0b5c48bca 100755
--- a/man/PM_build.Rd
+++ b/man/PM_build.Rd
@@ -6,14 +6,18 @@
 \usage{
 PM_build()
 }
+\value{
+Invisibly returns \code{NULL}.
+}
 \description{
-\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}}
-
-Compile Rust source code used by Pmetrics.
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}}
 
-\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}}
+Building Pmetrics is no longer required. Models are now written in the
+pharmsol DSL and compiled just-in-time by the bundled Rust backend, so there
+is no separate compilation step and no Rust toolchain is needed.
 
-Compile Rust source code used by Pmetrics.
+This function is retained so that existing scripts continue to run; it simply
+informs the user that no action is necessary.
 }
 \author{
 Michael Neely and Julian Otalvaro
diff --git a/man/PM_model.Rd b/man/PM_model.Rd
index f9e593fa2..1292bc5b7 100755
--- a/man/PM_model.Rd
+++ b/man/PM_model.Rd
@@ -81,7 +81,11 @@ the original arguments into Rust}
 
     \item{\code{arg_list}}{A list containing the original arguments passed to the model}
 
-    \item{\code{binary_path}}{The full path and filename of the compiled model}
+    \item{\code{binary_path}}{Deprecated. Retained as \code{NULL} for backward compatibility;
+models are no longer compiled to a binary. See the \code{dsl} field.}
+
+    \item{\code{dsl}}{The model definition rendered as pharmsol DSL source, used by the
+Rust backend to JIT-compile the model at run time.}
   }
   \if{html}{\out{</div>}}
 }
@@ -676,7 +680,7 @@ the \code{data} object.
 \if{html}{\out{<a id="method-PM_model-compile"></a>}}
 \if{latex}{\out{\hypertarget{method-PM_model-compile}{}}}
 \subsection{\code{PM_model$compile()}}{
-  Compile the model to a binary file.
+  Render the model to pharmsol DSL source.
   \subsection{Usage}{
     \if{html}{\out{<div class="r">}}
     \preformatted{PM_model$compile(quiet = FALSE)}
@@ -685,14 +689,15 @@ the \code{data} object.
   \subsection{Arguments}{
     \if{html}{\out{<div class="arguments">}}
     \describe{
-      \item{\code{quiet}}{Logical, if TRUE, suppresses messages during compilation.}
+      \item{\code{quiet}}{Logical, if TRUE, suppresses messages.}
     }
     \if{html}{\out{</div>}}
   }
   \subsection{Details}{
-    This method write the model to a Rust file in a temporary path,
-updates the \code{binary_path} field for the model, and compiles that
-file to a binary file that can be used for fitting or simulation.
+    This method generates the pharmsol DSL representation of the model and
+stores it in the \code{dsl} field. The Rust backend JIT-compiles this source at
+run time, so no Rust toolchain or separate compilation step is required.
+The method name is retained for backward compatibility.
   }
 }
 
diff --git a/man/additive.Rd b/man/additive.Rd
index 308875d45..3030b8143 100755
--- a/man/additive.Rd
+++ b/man/additive.Rd
@@ -4,7 +4,7 @@
 \alias{additive}
 \title{Additive error model}
 \usage{
-additive(initial, coeff, fixed = FALSE)
+additive(initial, coeff, fixed = FALSE, outeq = 1)
 }
 \arguments{
 \item{initial}{Initial value for lambda}
@@ -12,6 +12,10 @@ additive(initial, coeff, fixed = FALSE)
 \item{coeff}{Vector of coefficients defining assay error polynomial}
 
 \item{fixed}{Estimate if \code{FALSE} (default).}
+
+\item{outeq}{The output equation number (1-based) this error model applies to.
+Defaults to \code{1}. This must match the output index used in the model's \code{out}
+block, e.g. \code{outeq = 2} corresponds to \code{Y[2]}.}
 }
 \description{
 \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}}
diff --git a/man/compile_model.Rd b/man/compile_model.Rd
deleted file mode 100644
index 93d827039..000000000
--- a/man/compile_model.Rd
+++ /dev/null
@@ -1,26 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extendr-wrappers.R
-\name{compile_model}
-\alias{compile_model}
-\title{Compiles the text representation of a model into a binary file.}
-\usage{
-compile_model(model_path, output_path, params, template_path, kind)
-}
-\arguments{
-\item{model_path}{Path to the model file.}
-
-\item{output_path}{Path to save the compiled model.}
-
-\item{params}{List of model parameters.}
-
-\item{template_path}{Path to the template directory.}
-
-\item{kind}{Kind of model, which can either be "ODE" or "Analytical".}
-}
-\value{
-Result of the compilation process.
-}
-\description{
-Compiles the text representation of a model into a binary file.
-}
-\keyword{internal}
diff --git a/man/dummy_compile.Rd b/man/dummy_compile.Rd
deleted file mode 100644
index f28ad59a9..000000000
--- a/man/dummy_compile.Rd
+++ /dev/null
@@ -1,18 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extendr-wrappers.R
-\name{dummy_compile}
-\alias{dummy_compile}
-\title{Dummy function to cache compilation artifacts.}
-\usage{
-dummy_compile(template_path)
-}
-\arguments{
-\item{template_path}{Path to the template directory.}
-}
-\value{
-Path to the build directory.
-}
-\description{
-Dummy function to cache compilation artifacts.
-}
-\keyword{internal}
diff --git a/man/fit.Rd b/man/fit.Rd
index 287a8ef22..3237dc67c 100644
--- a/man/fit.Rd
+++ b/man/fit.Rd
@@ -2,25 +2,23 @@
 % Please edit documentation in R/extendr-wrappers.R
 \name{fit}
 \alias{fit}
-\title{Fits the model at the given path to the data at the given path using the provided parameters.}
+\title{Fits the given model to the data using the provided settings.}
 \usage{
-fit(model_path, data, params, output_path, kind)
+fit(model_source, data, params, output_path)
 }
 \arguments{
-\item{model_path}{Path to the compiled model file.}
+\item{model_source}{Model definition written in the pharmsol DSL.}
 
 \item{data}{Path to the data file.}
 
 \item{params}{List of fitting parameters.}
 
 \item{output_path}{Path to save the fitting results.}
-
-\item{kind}{Kind of model, which can either be "ODE" or "Analytical".}
 }
 \value{
 Result of the fitting process.
 }
 \description{
-Fits the model at the given path to the data at the given path using the provided parameters.
+Fits the given model to the data using the provided settings.
 }
 \keyword{internal}
diff --git a/man/is_cargo_installed.Rd b/man/is_cargo_installed.Rd
deleted file mode 100644
index ae0fb2b15..000000000
--- a/man/is_cargo_installed.Rd
+++ /dev/null
@@ -1,15 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extendr-wrappers.R
-\name{is_cargo_installed}
-\alias{is_cargo_installed}
-\title{Checks if Cargo is installed on the system.}
-\usage{
-is_cargo_installed()
-}
-\value{
-TRUE if Cargo is installed, FALSE otherwise.
-}
-\description{
-Checks if Cargo is installed on the system.
-}
-\keyword{internal}
diff --git a/man/model_parameters.Rd b/man/model_parameters.Rd
index 414e4ba89..510035509 100644
--- a/man/model_parameters.Rd
+++ b/man/model_parameters.Rd
@@ -2,19 +2,17 @@
 % Please edit documentation in R/extendr-wrappers.R
 \name{model_parameters}
 \alias{model_parameters}
-\title{Retrieves the model parameters from the compiled model at the given path.}
+\title{Retrieves the model parameters from the given model.}
 \usage{
-model_parameters(model_path, kind)
+model_parameters(model_source)
 }
 \arguments{
-\item{model_path}{Path to the compiled model file.}
-
-\item{kind}{Kind of model, which can either be "ODE" or "Analytical".}
+\item{model_source}{Model definition written in the pharmsol DSL.}
 }
 \value{
 List of model parameters.
 }
 \description{
-Retrieves the model parameters from the compiled model at the given path.
+Retrieves the model parameters from the given model.
 }
 \keyword{internal}
diff --git a/man/proportional.Rd b/man/proportional.Rd
index eb1e22948..e25b55dc2 100755
--- a/man/proportional.Rd
+++ b/man/proportional.Rd
@@ -4,7 +4,7 @@
 \alias{proportional}
 \title{Proportional error model}
 \usage{
-proportional(initial, coeff, fixed = FALSE)
+proportional(initial, coeff, fixed = FALSE, outeq = 1)
 }
 \arguments{
 \item{initial}{Initial value for gamma}
@@ -12,6 +12,10 @@ proportional(initial, coeff, fixed = FALSE)
 \item{coeff}{Vector of coefficients defining assay error polynomial}
 
 \item{fixed}{Estimate if \code{FALSE} (default).}
+
+\item{outeq}{The output equation number (1-based) this error model applies to.
+Defaults to \code{1}. This must match the output index used in the model's \code{out}
+block, e.g. \code{outeq = 2} corresponds to \code{Y[2]}.}
 }
 \description{
 \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}}
diff --git a/man/simulate_all.Rd b/man/simulate_all.Rd
index 2a6378b9a..383e6e4bd 100644
--- a/man/simulate_all.Rd
+++ b/man/simulate_all.Rd
@@ -2,23 +2,21 @@
 % Please edit documentation in R/extendr-wrappers.R
 \name{simulate_all}
 \alias{simulate_all}
-\title{Simulates all subjects in the data set using the model at the given path.}
+\title{Simulates all subjects in the data set using the given model.}
 \usage{
-simulate_all(data_path, model_path, theta, kind)
+simulate_all(data_path, model_source, theta)
 }
 \arguments{
 \item{data_path}{Path to the data file.}
 
-\item{model_path}{Path to the compiled model file.}
+\item{model_source}{Model definition written in the pharmsol DSL.}
 
 \item{theta}{Data frame of support points.}
-
-\item{kind}{Kind of model, which can either be "ODE" or "Analytical".}
 }
 \value{
 Simulation results.
 }
 \description{
-Simulates all subjects in the data set using the model at the given path.
+Simulates all subjects in the data set using the given model.
 }
 \keyword{internal}
diff --git a/man/simulate_one.Rd b/man/simulate_one.Rd
index 3cd976465..c6c658a62 100644
--- a/man/simulate_one.Rd
+++ b/man/simulate_one.Rd
@@ -2,23 +2,21 @@
 % Please edit documentation in R/extendr-wrappers.R
 \name{simulate_one}
 \alias{simulate_one}
-\title{Simulates the first subject in the data set using the model at the given path.}
+\title{Simulates the first subject in the data set using the given model.}
 \usage{
-simulate_one(data_path, model_path, spp, kind)
+simulate_one(data_path, model_source, spp)
 }
 \arguments{
 \item{data_path}{Path to the data file.}
 
-\item{model_path}{Path to the compiled model file.}
+\item{model_source}{Model definition written in the pharmsol DSL.}
 
-\item{spp}{One support point as a numeric vector with probabiltity.}
-
-\item{kind}{Kind of model, which can either be "ODE" or "Analytical".}
+\item{spp}{One support point as a numeric vector.}
 }
 \value{
 Simulation results.
 }
 \description{
-Simulates the first subject in the data set using the model at the given path.
+Simulates the first subject in the data set using the given model.
 }
 \keyword{internal}
diff --git a/man/temporary_path.Rd b/man/temporary_path.Rd
deleted file mode 100644
index f3437de86..000000000
--- a/man/temporary_path.Rd
+++ /dev/null
@@ -1,15 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/extendr-wrappers.R
-\name{temporary_path}
-\alias{temporary_path}
-\title{Retrieves the temporary path used for building models.}
-\usage{
-temporary_path()
-}
-\value{
-Temporary build path.
-}
-\description{
-Retrieves the temporary path used for building models.
-}
-\keyword{internal}
diff --git a/src/rust/Cargo.toml b/src/rust/Cargo.toml
index c86e0cbfb..40a5d8c62 100755
--- a/src/rust/Cargo.toml
+++ b/src/rust/Cargo.toml
@@ -9,10 +9,11 @@ name = 'pm_rs'
 
 [dependencies]
 extendr-api = "=0.9.0"
-pmcore = { version = "=0.25.2", features = ["exa"] }
-libloading = "0.9"
+pmcore = { git = "https://github.com/LAPKB/PMcore.git", rev = "c9c8311", features = [
+    "dsl-jit",
+] }
 
-rayon = "1.10.0"
-anyhow = "1.0.97"
-tracing = "0.1.41"
-tracing-subscriber = "0.3.20"
+rayon = "1.12.0"
+anyhow = "1.0.103"
+tracing = "0.1.44"
+tracing-subscriber = "0.3.23"
diff --git a/src/rust/src/executor.rs b/src/rust/src/executor.rs
old mode 100755
new mode 100644
index 906f9a0cf..bbc753aa5
--- a/src/rust/src/executor.rs
+++ b/src/rust/src/executor.rs
@@ -1,55 +1,104 @@
-use crate::settings::settings;
-use extendr_api::List;
+use crate::settings::{settings, RunConfig};
+use crate::simulation::SimulationRow;
 
-use pmcore::prelude::{pharmsol::exa::load::load, simulator::SubjectPredictions, Predictions, *};
+use extendr_api::List;
+use pharmsol::dsl::{
+    compile_module_source_to_runtime, CompiledRuntimeModel, RuntimeCompilationTarget,
+};
+use pmcore::prelude::{simulator::Prediction, *};
 
 use std::path::PathBuf;
 
-use crate::simulation::SimulationRow;
+/// Parse and JIT-compile a model written in the pharmsol DSL.
+///
+/// This replaces the old workflow of compiling a Rust source file into a shared
+/// library with `cargo` and loading it at runtime. The model text is compiled
+/// in-process, so no Rust toolchain is required on the user's machine.
+pub(crate) fn compile_dsl(source: &str) -> Result<CompiledRuntimeModel> {
+    compile_module_source_to_runtime(source, None, RuntimeCompilationTarget::Jit, |_, _| {})
+        .map_err(|e| anyhow::anyhow!("Failed to compile model: {e}"))
+}
+
+/// The ordered list of parameter names declared by the model.
+fn param_names(model: &CompiledRuntimeModel) -> Vec<String> {
+    model
+        .metadata()
+        .parameters()
+        .iter()
+        .map(|p| p.name().to_string())
+        .collect()
+}
 
-pub(crate) fn model_parameters<E: Equation>(model_path: PathBuf) -> Vec<String> {
-    let (_lib, (_ode, meta)) = unsafe { load::<E>(model_path) };
-    meta.get_params().clone()
+pub(crate) fn model_parameters(source: &str) -> Result<Vec<String>> {
+    Ok(param_names(&compile_dsl(source)?))
 }
 
-pub(crate) fn simulate<E: Equation + Send>(
-    model_path: PathBuf,
+/// Simulate a subject at a support point using an already-compiled model.
+pub(crate) fn simulate_model(
+    model: &CompiledRuntimeModel,
     subject: &Subject,
-    support_point: &Vec<f64>,
+    support_point: &[f64],
     spp_index: usize,
 ) -> Result<Vec<SimulationRow>> {
-    let (_lib, (model, meta)) = unsafe { load::<E>(model_path) };
-    if meta.get_params().len() != support_point.len() {
+    let nparams = model.metadata().parameters().len();
+    if nparams != support_point.len() {
         return Err(anyhow::anyhow!(
             "Support point has {} values but model expects {} parameters",
             support_point.len(),
-            meta.get_params().len()
+            nparams
         ));
     }
-    let predictions: SubjectPredictions = model
-        .estimate_predictions(subject, support_point)?
-        .get_predictions()
-        .into();
-    Ok(SimulationRow::from_subject_predictions(
+
+    let predictions: Vec<Prediction> = match model {
+        CompiledRuntimeModel::Ode(eq) => eq
+            .estimate_predictions_dense(subject, support_point)?
+            .get_predictions(),
+        CompiledRuntimeModel::Analytical(eq) => eq
+            .estimate_predictions_dense(subject, support_point)?
+            .get_predictions(),
+        CompiledRuntimeModel::Sde(_) => {
+            return Err(anyhow::anyhow!(
+                "SDE models are not supported for simulation"
+            ))
+        }
+    };
+
+    Ok(SimulationRow::from_predictions(
         predictions,
         subject.id(),
         spp_index,
     ))
 }
 
-pub(crate) fn fit<E: Equation + Send>(
-    model_path: PathBuf,
+/// Fit a model (given as DSL source) to the data and write the output artifacts.
+pub(crate) fn fit(
+    source: &str,
     data: Data,
     params: List,
     output_path: PathBuf,
 ) -> std::result::Result<(), anyhow::Error> {
-    let (_lib, (eq, meta)) = unsafe { load::<E>(model_path) };
+    let model = compile_dsl(source)?;
+    let names = param_names(&model);
     let output_path_str = output_path
         .to_str()
         .ok_or_else(|| anyhow::anyhow!("Output path contains invalid UTF-8: {:?}", output_path))?;
-    let settings = settings(params, meta.get_params(), output_path_str)?;
-    let mut algorithm = dispatch_algorithm(settings, eq, data)?;
-    let mut result = algorithm.fit()?;
-    result.write_outputs()?;
+    let config = settings(params, &names, output_path_str)?;
+
+    match model {
+        CompiledRuntimeModel::Ode(eq) => run_fit(eq, data, config),
+        CompiledRuntimeModel::Analytical(eq) => run_fit(eq, data, config),
+        CompiledRuntimeModel::Sde(_) => {
+            Err(anyhow::anyhow!("SDE models are not supported for fitting"))
+        }
+    }
+}
+
+fn run_fit<E>(eq: E, data: Data, config: RunConfig) -> Result<()>
+where
+    E: Equation + EquationMetadataSource + Send + 'static,
+{
+    let result = EstimationProblem::nonparametric(eq, data, config.prior, config.error_models)?
+        .fit_with(config.algorithm)?;
+    result.write_outputs(&config.output_path, config.idelta, config.tad)?;
     Ok(())
 }
diff --git a/src/rust/src/lib.rs b/src/rust/src/lib.rs
old mode 100755
new mode 100644
index a2e19e856..7074899cb
--- a/src/rust/src/lib.rs
+++ b/src/rust/src/lib.rs
@@ -1,5 +1,3 @@
-// mod build;
-
 mod executor;
 mod logs;
 mod settings;
@@ -7,164 +5,103 @@ mod simulation;
 
 use anyhow::Result;
 use extendr_api::prelude::*;
-use pmcore::prelude::{
-    data::{read_pmetrics, Data},
-    pharmsol::exa::build,
-    Analytical, ODE,
-};
+use pmcore::prelude::data::{read_pmetrics, Data};
 use simulation::SimulationRow;
-use std::process::Command;
 use tracing_subscriber::layer::SubscriberExt;
 
 use crate::logs::RFormatLayer;
 
-fn validate_paths(data_path: &str, model_path: &str) -> Result<()> {
+fn validate_data_path(data_path: &str) -> Result<()> {
     if !std::path::Path::new(data_path).exists() {
         return Err(anyhow::anyhow!("Data path does not exist: {}", data_path));
     }
-    if !std::path::Path::new(model_path).exists() {
-        return Err(anyhow::anyhow!("Model path does not exist: {}", model_path));
-    }
     Ok(())
 }
 
-fn read_pmetrics_for_kind(data_path: &str, kind: &str) -> Result<Data> {
-    match kind {
-        "ode" | "analytical" => {}
-        err => return Err(anyhow::format_err!("{} is not a supported model type", err)),
-    }
-
+fn read_data(data_path: &str) -> Result<Data> {
     read_pmetrics(data_path).map_err(|err| anyhow::format_err!("Failed to parse data: {}", err))
 }
 
-/// Simulates the first subject in the data set using the model at the given path.
+/// Simulates the first subject in the data set using the given model.
 /// @param data_path Path to the data file.
-/// @param model_path Path to the compiled model file.
-/// @param spp One support point as a numeric vector with probabiltity.
-/// @param kind Kind of model, which can either be "ODE" or "Analytical".
+/// @param model_source Model definition written in the pharmsol DSL.
+/// @param spp One support point as a numeric vector.
 /// @return Simulation results.
-///@export
+/// @export
 #[extendr]
 fn simulate_one(
     data_path: &str,
-    model_path: &str,
+    model_source: &str,
     spp: &[f64],
-    kind: &str,
 ) -> Result<Dataframe<SimulationRow>> {
-    validate_paths(data_path, model_path)?;
-    let data = read_pmetrics_for_kind(data_path, kind)?;
+    validate_data_path(data_path)?;
+    let data = read_data(data_path)?;
     let subjects = data.subjects();
     let first_subject = subjects
         .first()
         .ok_or_else(|| anyhow::anyhow!("Data set contains no subjects"))?;
-    let rows = match kind {
-        "ode" => executor::simulate::<ODE>(model_path.into(), first_subject, &spp.to_vec(), 0)?,
-        "analytical" => {
-            executor::simulate::<Analytical>(model_path.into(), first_subject, &spp.to_vec(), 0)?
-        }
-        _ => {
-            return Err(anyhow::format_err!(
-                "{} is not a supported model type",
-                kind
-            ));
-        }
-    };
+
+    let model = executor::compile_dsl(model_source)?;
+    let rows = executor::simulate_model(&model, first_subject, spp, 0)?;
+
     rows.into_dataframe()
         .map_err(|e| anyhow::anyhow!("Failed to build data frame: {}", e))
 }
 
-/// Simulates all subjects in the data set using the model at the given path.
+/// Simulates all subjects in the data set using the given model.
 /// @param data_path Path to the data file.
-/// @param model_path Path to the compiled model file.
+/// @param model_source Model definition written in the pharmsol DSL.
 /// @param theta Data frame of support points.
-/// @param kind Kind of model, which can either be "ODE" or "Analytical".
 /// @return Simulation results.
 /// @export
 #[extendr]
 fn simulate_all(
     data_path: &str,
-    model_path: &str,
+    model_source: &str,
     theta: RMatrix<f64>,
-    kind: &str,
 ) -> Result<Dataframe<SimulationRow>> {
     use rayon::prelude::*;
 
-    validate_paths(data_path, model_path)?;
+    validate_data_path(data_path)?;
     let theta = parse_theta(theta)?;
-    let data = read_pmetrics_for_kind(data_path, kind)?;
+    let data = read_data(data_path)?;
     let subjects = data.subjects();
-
-    let rows: Vec<_> = match kind {
-        "ode" => theta
-            .par_iter()
-            .enumerate()
-            .map(|(i, spp)| {
-                subjects
-                    .par_iter()
-                    .map(|subject| executor::simulate::<ODE>(model_path.into(), subject, spp, i))
-                    .collect::<Result<Vec<_>>>()
-                    .map(|v| v.into_iter().flatten().collect::<Vec<_>>())
-            })
-            .collect::<Result<Vec<_>>>()?
-            .into_iter()
-            .flatten()
-            .collect(),
-        "analytical" => theta
-            .par_iter()
-            .enumerate()
-            .map(|(i, spp)| {
-                subjects
-                    .par_iter()
-                    .map(|subject| {
-                        executor::simulate::<Analytical>(model_path.into(), subject, spp, i)
-                    })
-                    .collect::<Result<Vec<_>>>()
-                    .map(|v| v.into_iter().flatten().collect::<Vec<_>>())
-            })
-            .collect::<Result<Vec<_>>>()?
-            .into_iter()
-            .flatten()
-            .collect(),
-        _ => {
-            return Err(anyhow::format_err!(
-                "{} is not a supported model type",
-                kind
-            ));
-        }
-    };
+    let model = executor::compile_dsl(model_source)?;
+
+    let rows: Vec<_> = theta
+        .par_iter()
+        .enumerate()
+        .map(|(i, spp)| {
+            subjects
+                .par_iter()
+                .map(|subject| executor::simulate_model(&model, subject, spp, i))
+                .collect::<Result<Vec<_>>>()
+                .map(|v| v.into_iter().flatten().collect::<Vec<_>>())
+        })
+        .collect::<Result<Vec<_>>>()?
+        .into_iter()
+        .flatten()
+        .collect();
 
     rows.into_dataframe()
         .map_err(|e| anyhow::anyhow!("Failed to build data frame: {}", e))
 }
 
-/// Fits the model at the given path to the data at the given path using the provided parameters.
-/// @param model_path Path to the compiled model file.
+/// Fits the given model to the data using the provided settings.
+/// @param model_source Model definition written in the pharmsol DSL.
 /// @param data Path to the data file.
 /// @param params List of fitting parameters.
 /// @param output_path Path to save the fitting results.
-/// @param kind Kind of model, which can either be "ODE" or "Analytical".
 /// @return Result of the fitting process.
 /// @export
 #[extendr]
-pub fn fit(
-    model_path: &str,
-    data: &str,
-    params: List,
-    output_path: &str,
-    kind: &str,
-) -> Result<()> {
+pub fn fit(model_source: &str, data: &str, params: List, output_path: &str) -> Result<()> {
     RFormatLayer::reset_global_timer();
     setup_logs()?;
     println!("Initializing model fit...");
-    validate_paths(data, model_path)?;
-    let data = read_pmetrics_for_kind(data, kind)?;
-    match kind {
-        "ode" => executor::fit::<ODE>(model_path.into(), data, params, output_path.into())?,
-        "analytical" => {
-            executor::fit::<Analytical>(model_path.into(), data, params, output_path.into())?
-        }
-        err => return Err(anyhow::format_err!("{} is not a supported model type", err)),
-    };
+    validate_data_path(data)?;
+    let data = read_data(data)?;
+    executor::fit(model_source, data, params, output_path.into())?;
     Ok(())
 }
 
@@ -183,91 +120,13 @@ fn parse_theta(matrix: RMatrix<f64>) -> Result<Vec<Vec<f64>>> {
     Ok(theta)
 }
 
-/// Compiles the text representation of a model into a binary file.
-/// @param model_path Path to the model file.
-/// @param output_path Path to save the compiled model.
-/// @param params List of model parameters.
-/// @param template_path Path to the template directory.
-/// @param kind Kind of model, which can either be "ODE" or "Analytical".
-/// @return Result of the compilation process.
-/// @export
-#[extendr]
-fn compile_model(
-    model_path: &str,
-    output_path: &str,
-    params: Strings,
-    template_path: &str,
-    kind: &str,
-) -> Result<()> {
-    let params: Vec<String> = params.iter().map(|x| x.to_string()).collect();
-    let model_txt = std::fs::read_to_string(model_path)
-        .map_err(|e| anyhow::anyhow!("Failed to read model file '{}': {}", model_path, e))?;
-    let template_path = std::path::PathBuf::from(template_path);
-    match kind {
-        "ode" => build::compile::<ODE>(
-            model_txt,
-            Some(output_path.into()),
-            params.to_vec(),
-            template_path,
-            |_key, val| {
-                print!("{}", val);
-            },
-        )?,
-        "analytical" => build::compile::<Analytical>(
-            model_txt,
-            Some(output_path.into()),
-            params.to_vec(),
-            template_path,
-            |_key, val| {
-                print!("{}", val);
-            },
-        )?,
-        err => return Err(anyhow::format_err!("{} is not a supported model type", err)),
-    };
-
-    Ok(())
-}
-
-/// Dummy function to cache compilation artifacts.
-/// @param template_path Path to the template directory.
-/// @return Path to the build directory.
-/// @export
-#[extendr]
-fn dummy_compile(template_path: &str) -> Result<String> {
-    let template_path = std::path::PathBuf::from(template_path);
-    let build_path = build::dummy_compile(template_path, |_key, val| {
-        print!("{}", val);
-    })?;
-    Ok(build_path)
-}
-/// Checks if Cargo is installed on the system.
-/// @return TRUE if Cargo is installed, FALSE otherwise.
-/// @export
-#[extendr]
-fn is_cargo_installed() -> bool {
-    Command::new("cargo").arg("--version").output().is_ok()
-}
-
-/// Retrieves the model parameters from the compiled model at the given path.
-/// @param model_path Path to the compiled model file.
-/// @param kind Kind of model, which can either be "ODE" or "Analytical".
+/// Retrieves the model parameters from the given model.
+/// @param model_source Model definition written in the pharmsol DSL.
 /// @return List of model parameters.
 /// @export
 #[extendr]
-fn model_parameters(model_path: &str, kind: &str) -> Result<Vec<String>> {
-    match kind {
-        "ode" => Ok(executor::model_parameters::<ODE>(model_path.into())),
-        "analytical" => Ok(executor::model_parameters::<Analytical>(model_path.into())),
-        err => Err(anyhow::format_err!("{} is not a supported model type", err)),
-    }
-}
-
-/// Retrieves the temporary path used for building models.
-/// @return Temporary build path.
-/// @export
-#[extendr]
-fn temporary_path() -> String {
-    build::temp_path().to_string_lossy().to_string()
+fn model_parameters(model_source: &str) -> Result<Vec<String>> {
+    executor::model_parameters(model_source)
 }
 
 /// Initialize the tracing subscriber with the custom R formatter
@@ -295,14 +154,9 @@ extendr_module! {
     mod Pmetrics;
     fn simulate_one;
     fn simulate_all;
-    fn compile_model;
-    fn dummy_compile;
-    fn is_cargo_installed;
     fn fit;
     fn model_parameters;
-    fn temporary_path;
     fn setup_logs;
-
 }
 
 // To generate the exported function in R, run the following command:
diff --git a/src/rust/src/settings.rs b/src/rust/src/settings.rs
index 3a94542bd..a071b3904 100644
--- a/src/rust/src/settings.rs
+++ b/src/rust/src/settings.rs
@@ -3,6 +3,28 @@ use extendr_api::{Conversions, List, Robj};
 use pmcore::prelude::*;
 use std::collections::HashMap;
 
+/// The parsed configuration required to run a non-parametric fit.
+///
+/// This replaces the old `pmcore::Settings` type. The new PMcore API composes a
+/// fit from independent pieces (prior, error models, algorithm) instead of a
+/// single settings object, and output-related options (`idelta`, `tad`, output
+/// directory) are supplied directly to [`NonParametricResult::write_outputs`].
+pub(crate) struct RunConfig {
+    /// The prior distribution (support points) that seeds the algorithm. It also
+    /// carries the parameter space, so no separate parameter declaration is needed.
+    pub prior: Theta,
+    /// The assay error models, one per output equation.
+    pub error_models: AssayErrorModels,
+    /// The configured algorithm to run.
+    pub algorithm: NonParametricAlgorithm,
+    /// Interval used to densify the prediction grid when writing outputs.
+    pub idelta: f64,
+    /// Additional time after the last event to simulate when writing outputs.
+    pub tad: f64,
+    /// Directory to which output artifacts are written.
+    pub output_path: String,
+}
+
 /// Helper: get a field from the settings hashmap or return an error.
 fn get_field<'a>(map: &'a HashMap<&str, Robj>, key: &str) -> AnyResult<&'a Robj> {
     map.get(key)
@@ -29,11 +51,7 @@ fn get_real_or(map: &HashMap<&str, Robj>, key: &str, default: f64) -> AnyResult<
     Ok(get_field(map, key)?.as_real().unwrap_or(default))
 }
 
-pub(crate) fn settings(
-    settings: List,
-    params: &Vec<String>,
-    output_path: &str,
-) -> Result<Settings> {
+pub(crate) fn settings(settings: List, params: &[String], output_path: &str) -> Result<RunConfig> {
     let settings: HashMap<&str, Robj> = HashMap::try_from(&settings)
         .map_err(|e| anyhow!("Failed to convert settings list to map: {}", e))?;
 
@@ -41,116 +59,115 @@ pub(crate) fn settings(
     let ranges = robj_to_hashmap(ranges)?;
     let parameters = parse_parameters(ranges, params)?;
 
+    let max_cycles = get_real_or(&settings, "max_cycles", 100.0)? as usize;
+    let ind_points = get_real_or(&settings, "points", 2028.0)? as usize;
+    let seed = get_real_or(&settings, "seed", 22.0)? as usize;
+
     let algorithm = get_str(&settings, "algorithm")?;
-    let algorithm = match algorithm.to_lowercase().as_str() {
-        "npag" => pmcore::prelude::Algorithm::NPAG,
-        "npod" => pmcore::prelude::Algorithm::NPOD,
-        "postprob" => pmcore::prelude::Algorithm::POSTPROB,
+    let algorithm: NonParametricAlgorithm = match algorithm.to_lowercase().as_str() {
+        "npag" => NpagConfig::new().max_cycles(max_cycles).into(),
+        "npod" => NpodConfig::new().max_cycles(max_cycles).into(),
+        // Posterior probabilities are computed by a single-pass Bayesian
+        // reweighting of the (fixed) prior support points, which is exactly what
+        // the NCNPAG algorithm does.
+        "postprob" => NcnpagConfig::new().into(),
         _ => return Err(anyhow!("Algorithm {} not supported", algorithm)),
     };
 
     let error_models_raw = get_list(&settings, "error_models")?;
-
-    let mut ems = AssayErrorModels::new().add(0, AssayErrorModel::None)?;
+    // Each error model declares the 1-based output equation (`outeq`) it applies
+    // to. Error models are stored by output *slot* (declaration order, 0-based),
+    // so the declared `outeq` maps to slot `outeq - 1`. The model DSL declares
+    // outputs with 1-based numeric labels (`outeq_1`, ...) to match the Pmetrics
+    // data `OUTEQ` column, and the first declared output occupies slot 0.
+    let mut ems = AssayErrorModels::new();
 
     for (i, (_, em)) in error_models_raw.iter().enumerate() {
-        let outeq = i + 1;
         let em_list = em
             .as_list()
-            .ok_or_else(|| anyhow!("error_models[{}] is not a list", outeq))?;
+            .ok_or_else(|| anyhow!("error_models[{}] is not a list", i + 1))?;
         let em: HashMap<&str, Robj> = HashMap::try_from(&em_list)
-            .map_err(|e| anyhow!("Failed to parse error_models[{}]: {}", outeq, e))?;
+            .map_err(|e| anyhow!("Failed to parse error_models[{}]: {}", i + 1, e))?;
+
+        // The output equation this error model applies to (1-based). Fall back to
+        // positional order if the field is absent, preserving old behaviour.
+        let outeq_1based = get_field(&em, "outeq")
+            .ok()
+            .and_then(|v| v.as_real())
+            .map(|v| v as usize)
+            .unwrap_or(i + 1);
+        if outeq_1based < 1 {
+            bail!("error_models[{}].outeq must be 1 or greater", i + 1);
+        }
+        let outeq = outeq_1based - 1;
 
         let gamlam = get_field(&em, "initial")?
             .as_real()
-            .ok_or_else(|| anyhow!("error_models[{}].initial is not a real number", outeq))?;
+            .ok_or_else(|| anyhow!("error_models for outeq {} initial is not a real number", outeq_1based))?;
         let type_vec = get_field(&em, "type")?
             .as_string_vector()
-            .ok_or_else(|| anyhow!("error_models[{}].type is not a character vector", outeq))?;
+            .ok_or_else(|| anyhow!("error_models for outeq {} type is not a character vector", outeq_1based))?;
         let err_type = type_vec
             .first()
-            .ok_or_else(|| anyhow!("error_models[{}].type is empty", outeq))?;
+            .ok_or_else(|| anyhow!("error_models for outeq {} type is empty", outeq_1based))?;
         let fixed = get_field(&em, "fixed")?
             .as_logical()
-            .ok_or_else(|| anyhow!("error_models[{}].fixed is not logical", outeq))?;
+            .ok_or_else(|| anyhow!("error_models for outeq {} fixed is not logical", outeq_1based))?;
         let coeff = get_field(&em, "coeff")?
             .as_real_vector()
-            .ok_or_else(|| anyhow!("error_models[{}].coeff is not a numeric vector", outeq))?;
+            .ok_or_else(|| anyhow!("error_models for outeq {} coeff is not a numeric vector", outeq_1based))?;
         if coeff.len() < 4 {
             bail!(
-                "error_models[{}].coeff must have at least 4 values, got {}",
-                outeq,
+                "error_models for outeq {} coeff must have at least 4 values, got {}",
+                outeq_1based,
                 coeff.len()
             );
         }
 
-        match err_type.as_str() {
+        let poly = ErrorPoly::new(coeff[0], coeff[1], coeff[2], coeff[3]);
+        let model = match err_type.as_str() {
             "additive" => {
-                ems = ems.add(
-                    outeq,
-                    if fixed.to_bool() {
-                        AssayErrorModel::additive_fixed(
-                            ErrorPoly::new(coeff[0], coeff[1], coeff[2], coeff[3]),
-                            gamlam,
-                        )
-                    } else {
-                        AssayErrorModel::additive(
-                            ErrorPoly::new(coeff[0], coeff[1], coeff[2], coeff[3]),
-                            gamlam,
-                        )
-                    },
-                )?;
+                if fixed.to_bool() {
+                    AssayErrorModel::additive_fixed(poly, gamlam)
+                } else {
+                    AssayErrorModel::additive(poly, gamlam)
+                }
             }
             "proportional" => {
-                ems = ems.add(
-                    outeq,
-                    if fixed.to_bool() {
-                        AssayErrorModel::proportional_fixed(
-                            ErrorPoly::new(coeff[0], coeff[1], coeff[2], coeff[3]),
-                            gamlam,
-                        )
-                    } else {
-                        AssayErrorModel::proportional(
-                            ErrorPoly::new(coeff[0], coeff[1], coeff[2], coeff[3]),
-                            gamlam,
-                        )
-                    },
-                )?;
+                if fixed.to_bool() {
+                    AssayErrorModel::proportional_fixed(poly, gamlam)
+                } else {
+                    AssayErrorModel::proportional(poly, gamlam)
+                }
             }
-            err => {
-                bail!("Invalid Error type: {}", err);
-            }
-        }
+            err => bail!("Invalid Error type: {}", err),
+        };
+        ems = ems.add(outeq, model)?;
     }
 
-    let max_cycles = get_real_or(&settings, "max_cycles", 100.0)? as usize;
-    let ind_points = get_real_or(&settings, "points", 2028.0)? as usize;
-    let seed = get_real_or(&settings, "seed", 22.0)? as usize;
-
     let prior = get_str(&settings, "prior")?;
     let prior = match prior.as_str() {
-        "sobol" => pmcore::prelude::Prior::sobol(ind_points, seed),
-        "prior.csv" => pmcore::prelude::Prior::File("prior.csv".to_string()),
+        "sobol" => Theta::sobol_with_seed(&parameters, ind_points, seed)
+            .context("Failed to build Sobol prior")?,
+        "prior.csv" => {
+            let (theta, _weights) = Theta::from_file("prior.csv", &parameters)
+                .context("Failed to read prior from prior.csv")?;
+            theta
+        }
         _ => return Err(anyhow!("Prior {} not supported", prior)),
     };
 
     let idelta = get_real_or(&settings, "idelta", 0.01)?;
     let tad = get_real_or(&settings, "tad", 0.0)?;
 
-    let mut settings = Settings::builder()
-        .set_algorithm(algorithm)
-        .set_parameters(parameters)
-        .set_error_models(ems)
-        .build();
-    settings.set_idelta(idelta);
-    settings.set_tad(tad);
-    settings.set_cycles(max_cycles);
-    settings.set_prior(prior);
-    settings.set_output_path(output_path.to_string());
-    settings.set_write_logs(true);
-    settings.set_log_level(LogLevel::INFO);
-    settings.write().context("Failed to write settings")?;
-    Ok(settings)
+    Ok(RunConfig {
+        prior,
+        error_models: ems,
+        algorithm,
+        idelta,
+        tad,
+        output_path: output_path.to_string(),
+    })
 }
 
 fn robj_to_hashmap(list: List) -> AnyResult<HashMap<String, (f64, f64)>> {
@@ -173,9 +190,9 @@ fn robj_to_hashmap(list: List) -> AnyResult<HashMap<String, (f64, f64)>> {
 
 fn parse_parameters(
     ranges: HashMap<String, (f64, f64)>,
-    params: &Vec<String>,
-) -> Result<Parameters> {
-    let mut parameters = Parameters::new();
+    params: &[String],
+) -> Result<ParameterSpace<BoundedParameter>> {
+    let mut parameters = ParameterSpace::bounded();
     for param in params.iter() {
         let (min, max) = match ranges.get(param) {
             Some(range) => range,
diff --git a/src/rust/src/simulation.rs b/src/rust/src/simulation.rs
index 7eaae8ae8..af8a8e49e 100755
--- a/src/rust/src/simulation.rs
+++ b/src/rust/src/simulation.rs
@@ -1,8 +1,5 @@
 use extendr_api::prelude::*;
-use pmcore::prelude::{
-    simulator::{Prediction, SubjectPredictions},
-    Predictions,
-};
+use pmcore::prelude::simulator::Prediction;
 
 //look at https://extendr.github.io/extendr/extendr_api/derive.IntoDataFrameRow.html
 
@@ -56,13 +53,9 @@ impl SimulationRow {
         rows
     }
 
-    pub fn from_subject_predictions(
-        subject_predictions: SubjectPredictions,
-        id: &str,
-        spp_index: usize,
-    ) -> Vec<Self> {
+    pub fn from_predictions(predictions: Vec<Prediction>, id: &str, spp_index: usize) -> Vec<Self> {
         let mut rows = Vec::new();
-        for prediction in subject_predictions.get_predictions().iter() {
+        for prediction in predictions.iter() {
             rows.extend(Self::from_prediction(prediction, id, spp_index));
         }
         rows

From a25ead7f34ac6da295df76359475b4dd7dbeeb6a Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Mon, 13 Jul 2026 12:59:15 +0200
Subject: [PATCH 02/16] WIP

---
 R/PM_model.R             |  37 +++++++++++-
 R/PM_parse.R             |  71 +++++++++++++++++++++++
 R/PM_result.R            |   6 +-
 R/model_dsl.R            | 121 ++++++++++++++++++++++++++++++++-------
 src/rust/src/settings.rs |  36 ++++++++----
 5 files changed, 235 insertions(+), 36 deletions(-)

diff --git a/R/PM_model.R b/R/PM_model.R
index 6c0471796..2437deddd 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -89,6 +89,10 @@ PM_model <- R6::R6Class(
     #' @field dsl The model definition rendered as pharmsol DSL source, used by the
     #' Rust backend to JIT-compile the model at run time.
     dsl = NULL,
+    #' @field input_remap A list describing any data input remapping required by
+    #' the DSL model (used when an input drives both a bolus and an infusion
+    #' route). Each element is a list with `kind`, `from`, and `to`.
+    input_remap = NULL,
     #' @description
     #' This is the method to create a new `PM_model` object.
     #'
@@ -441,6 +445,7 @@ PM_model <- R6::R6Class(
           })
           self$arg_list$x <- NULL
           self$dsl <- x$dsl
+          self$input_remap <- x$input_remap
         } else {
           cli::cli_abort(c(
             "x" = "Non supported input for {.arg x}: {typeof(x)}",
@@ -1401,6 +1406,12 @@ PM_model <- R6::R6Class(
       # Persist the DSL source alongside the run inputs for reproducibility.
       if (is.null(self$dsl)) self$compile(quiet = TRUE)
       writeLines(self$dsl, normalizePath(file.path(path_run, "inputs", "model.txt"), mustWork = FALSE))
+      # Apply any input remapping required by the DSL model (e.g. when an input
+      # drives both a bolus and an infusion route).
+      remap_input_csv(
+        normalizePath(file.path(path_run, "inputs", "gendata.csv"), mustWork = FALSE),
+        self$input_remap
+      )
 
       # Get ranges and calculate points
       ranges <- lapply(self$model_list$pri, function(x) {
@@ -1453,6 +1464,26 @@ PM_model <- R6::R6Class(
           }
         )
 
+        # The Rust backend writes the estimation artifacts (theta.csv,
+        # posterior.csv, pred.csv, covs.csv, cycles.csv, result.json). The
+        # Pmetrics output parsers additionally expect a `settings.json` file
+        # describing the run configuration, which we write here from the model
+        # and fit settings.
+        if (file.exists(file.path(out_path, "theta.csv"))) {
+          write_settings_json(
+            path = file.path(out_path, "settings.json"),
+            param_ranges = ranges,
+            error_models = self$model_list$err,
+            algorithm = algorithm,
+            cycles = cycles,
+            idelta = idelta,
+            tad = tad,
+            prior = prior,
+            points = points,
+            seed = seed
+          )
+        }
+
         PM_parse(path = out_path)
         res <- PM_load(path = normalizePath(out_path), file = "PMout.Rdata")
         if (report != "none") {
@@ -1583,6 +1614,8 @@ PM_model <- R6::R6Class(
           cli::cli_abort(c("x" = "Model must be prepared before simulating."))
         }
       }
+      # Apply any input remapping required by the DSL model.
+      remap_input_csv(temp_csv, self$input_remap)
       sim <- simulate_all(temp_csv, self$dsl, theta)
 
       return(sim)
@@ -1605,7 +1638,9 @@ PM_model <- R6::R6Class(
       if (!quiet) cli::cli_inform(c("i" = "Preparing model..."))
       tryCatch(
         {
-          self$dsl <- model_to_dsl(self)
+          rendered <- model_to_dsl(self)
+          self$dsl <- rendered$dsl
+          self$input_remap <- rendered$remap
         },
         error = function(e) {
           cli::cli_abort(
diff --git a/R/PM_parse.R b/R/PM_parse.R
index b416b18e9..857197623 100755
--- a/R/PM_parse.R
+++ b/R/PM_parse.R
@@ -1,6 +1,77 @@
 # PM_parse ----------------------------------------------------------------
 
 
+#' @title Write run configuration to settings.json
+#' @description
+#' `r lifecycle::badge("experimental")`
+#'
+#' Writes a `settings.json` file describing a fit's configuration. The Rust
+#' backend writes the estimation artifacts (theta.csv, posterior.csv, pred.csv,
+#' covs.csv, cycles.csv, result.json) but not the configuration file that the
+#' Pmetrics output parsers ([PM_op], [PM_final], [PM_cycle], etc.) expect. This
+#' helper reconstructs that file from the model and fit settings.
+#' @param path Full path (including filename) to write the `settings.json` file.
+#' @param param_ranges A named list mapping parameter names to `c(min, max)`
+#' ranges, in parameter order.
+#' @param error_models A list of `PM_err` objects, each carrying `type`,
+#' `initial`, `coeff`, `fixed`, and `outeq`.
+#' @param algorithm The fitting algorithm (e.g. "NPAG").
+#' @param cycles Maximum number of cycles.
+#' @param idelta Prediction interval used when writing outputs.
+#' @param tad Additional time after the last event used when writing outputs.
+#' @param prior The prior specification ("sobol" or "prior.csv").
+#' @param points Number of Sobol grid points.
+#' @param seed Random seed used to generate the Sobol grid.
+#' @return Invisibly returns the path written.
+#' @keywords internal
+write_settings_json <- function(path, param_ranges, error_models, algorithm,
+                                cycles, idelta, tad, prior, points, seed) {
+  # Parameter declarations, preserving order.
+  parameters <- lapply(names(param_ranges), function(nm) {
+    r <- param_ranges[[nm]]
+    list(name = nm, lower = r[1], upper = r[2])
+  })
+
+  # Error models, keyed by output slot. A leading "None" placeholder mirrors the
+  # convention used by the parsers (`decode_error_model_rows`), so the error
+  # model for output `outeq` occupies index `outeq` (1-based) in the array.
+  n_out <- length(error_models)
+  models <- vector("list", n_out + 1L)
+  models[[1]] <- "None"
+  for (e in error_models) {
+    oq <- as.integer(e$outeq)
+    coeff <- as.numeric(e$coeff)
+    length(coeff) <- 4 # pad with NA if shorter; then replace NA with 0
+    coeff[is.na(coeff)] <- 0
+    poly <- list(c0 = coeff[1], c1 = coeff[2], c2 = coeff[3], c3 = coeff[4])
+    value_kind <- if (isTRUE(e$fixed)) "Fixed" else "Variable"
+    value <- stats::setNames(list(e$initial), value_kind)
+    models[[oq + 1L]] <- if (identical(e$type, "additive")) {
+      list(Additive = list(lambda = value, poly = poly))
+    } else {
+      list(Proportional = list(gamma = value, poly = poly))
+    }
+  }
+
+  prior_json <- if (identical(prior, "sobol")) {
+    list(Sobol = c(points, seed))
+  } else {
+    list(File = as.character(prior))
+  }
+
+  settings <- list(
+    config = list(cycles = cycles, algorithm = algorithm, progress = TRUE),
+    parameters = list(parameters = parameters),
+    errormodels = list(models = models),
+    predictions = list(idelta = idelta, tad = tad),
+    prior = prior_json
+  )
+
+  jsonlite::write_json(settings, path = path, auto_unbox = TRUE, pretty = TRUE)
+  invisible(path)
+}
+
+
 #' @title Parse Pmetrics output
 #' @description
 #' `r lifecycle::badge("experimental")`
diff --git a/R/PM_result.R b/R/PM_result.R
index 371537d7a..4dcef8e44 100755
--- a/R/PM_result.R
+++ b/R/PM_result.R
@@ -395,7 +395,11 @@ PM_load <- function(run, path = ".", file = "PMout.Rdata") {
     # Ensure the rebuilt model carries its pharmsol DSL source so it can be
     # re-simulated without recompilation. Older results may not have stored it.
     if (inherits(rebuild$model, "PM_model") && is.null(rebuild$model$dsl)) {
-      rebuild$model$dsl <- tryCatch(model_to_dsl(rebuild$model), error = function(e) NULL)
+      rendered <- tryCatch(model_to_dsl(rebuild$model), error = function(e) NULL)
+      if (!is.null(rendered)) {
+        rebuild$model$dsl <- rendered$dsl
+        rebuild$model$input_remap <- rendered$remap
+      }
     }
 
     return(rebuild)
diff --git a/R/model_dsl.R b/R/model_dsl.R
index 0de859095..79caaccb8 100644
--- a/R/model_dsl.R
+++ b/R/model_dsl.R
@@ -354,33 +354,106 @@ dsl_ini_block <- function(fun) {
   list(derived = derived, lines = lines)
 }
 
-# Deduplicate routes, keeping declaration order, and detect conflicts (an input
-# used as both bolus and infusion, or targeting different compartments).
+# Finalize route usages into concrete DSL routes plus a data-remap table.
+#
+# Each usage is `list(kind, input, comp)` where `input` is the 1-based Pmetrics
+# data input number. The DSL requires a unique label per route, but the pharmsol
+# runtime keeps *separate* index spaces for bolus and infusion routes, so a
+# single data input can legitimately drive both a bolus and an infusion route.
+# To express that in the DSL we keep the bolus on the original `input_{n}` label
+# and give the infusion a fresh `input_{m}` label, recording a remap so the
+# data's infusion events (DUR > 0) on input `n` are rewritten to input `m` at
+# fit/simulation time.
+#
+# Returns `list(routes = <list of {kind, label, comp}>, remap = <list of
+# {kind, from, to}>)`.
 dsl_finalize_routes <- function(routes) {
   by_input <- list()
+  seen_inputs <- integer(0)
   for (r in routes) {
     key <- as.character(r$input)
     if (is.null(by_input[[key]])) {
-      by_input[[key]] <- r
-    } else {
-      prev <- by_input[[key]]
-      if (prev$comp != r$comp) {
+      by_input[[key]] <- list()
+      seen_inputs <- c(seen_inputs, r$input)
+    }
+    by_input[[key]][[length(by_input[[key]]) + 1L]] <- r
+  }
+
+  inputs <- sort(unique(seen_inputs))
+  next_label <- if (length(inputs) > 0) max(inputs) + 1L else 1L
+
+  final_routes <- list()
+  remap <- list()
+
+  for (inp in inputs) {
+    grp <- by_input[[as.character(inp)]]
+    has_bolus <- any(vapply(grp, function(r) identical(r$kind, "bolus"), logical(1)))
+
+    for (kd in c("bolus", "infusion")) {
+      comps <- unique(vapply(
+        Filter(function(r) identical(r$kind, kd), grp),
+        function(r) as.integer(r$comp), integer(1)
+      ))
+      if (length(comps) == 0) next
+      if (length(comps) > 1) {
         cli::cli_abort(c(
-          "x" = "Input {r$input} is directed to more than one compartment.",
-          "i" = "Each drug input may target a single compartment in the DSL backend."
+          "x" = "Input {inp} directs a {kd} into more than one compartment.",
+          "i" = "Each input may direct a bolus (or an infusion) into a single compartment."
         ))
       }
-      if (prev$kind != r$kind) {
-        cli::cli_abort(c(
-          "x" = "Input {r$input} is used as both a bolus and an infusion.",
-          "i" = "The DSL backend requires each drug input to be either a bolus or an infusion, not both."
-        ))
+      comp <- comps[[1]]
+
+      # Bolus keeps the original input label. When the same input is also used as
+      # an infusion, the infusion route receives a fresh label and the data is
+      # remapped accordingly.
+      label <- inp
+      if (identical(kd, "infusion") && has_bolus) {
+        label <- next_label
+        next_label <- next_label + 1L
+        remap[[length(remap) + 1L]] <- list(kind = "infusion", from = inp, to = label)
       }
+
+      final_routes[[length(final_routes) + 1L]] <- list(kind = kd, label = label, comp = comp)
     }
   }
-  # Preserve ascending input order for deterministic output.
-  inputs <- sort(as.integer(names(by_input)))
-  lapply(inputs, function(i) by_input[[as.character(i)]])
+
+  list(routes = final_routes, remap = remap)
+}
+
+# Rewrite the `INPUT` column of a Pmetrics CSV to apply a route input remap.
+#
+# `remap` is the table returned by [dsl_finalize_routes]. For each infusion
+# remap `{from, to}`, dose rows with a positive duration (`DUR > 0`) and
+# `INPUT == from` are rewritten to `INPUT == to`, so that infusion events bind to
+# the separately-labelled infusion route in the DSL model.
+remap_input_csv <- function(path, remap) {
+  if (length(remap) == 0 || !file.exists(path)) {
+    return(invisible(path))
+  }
+
+  df <- utils::read.csv(
+    path,
+    check.names = FALSE, colClasses = "character",
+    na.strings = character(0), stringsAsFactors = FALSE
+  )
+  cols <- toupper(names(df))
+  dur_col <- match("DUR", cols)
+  input_col <- match("INPUT", cols)
+  if (is.na(dur_col) || is.na(input_col)) {
+    cli::cli_abort("Unable to apply input remap: {.field DUR}/{.field INPUT} columns not found.")
+  }
+
+  dur <- suppressWarnings(as.numeric(df[[dur_col]]))
+  input <- df[[input_col]]
+  for (m in remap) {
+    if (identical(m$kind, "infusion")) {
+      sel <- !is.na(dur) & dur > 0 & input == as.character(m$from)
+      df[[input_col]][sel] <- as.character(m$to)
+    }
+  }
+
+  utils::write.csv(df, path, row.names = FALSE, quote = FALSE, na = ".")
+  invisible(path)
 }
 
 # Map Pmetrics analytical library template names to DSL analytical structures.
@@ -481,11 +554,13 @@ model_to_dsl <- function(model) {
   states <- paste0("x", seq_len(n_states))
   outputs <- paste0("outeq_", seq_len(n_out))
 
-  routes <- dsl_finalize_routes(eqn$routes)
-  # Pmetrics data uses 1-based INPUT labels, so drug input `j` maps to the DSL
-  # route label `input_{j}` (numeric label resolves to index j).
+  routes_result <- dsl_finalize_routes(eqn$routes)
+  routes <- routes_result$routes
+  # Pmetrics data uses 1-based INPUT labels. Bolus routes keep the data input
+  # label; infusion routes that share an input with a bolus receive a fresh
+  # label (see `dsl_finalize_routes`), captured in the remap table.
   route_lines <- vapply(routes, function(r) {
-    sprintf("%s(input_%d) -> x%d", r$kind, r$input, r$comp)
+    sprintf("%s(input_%d) -> x%d", r$kind, r$label, r$comp)
   }, character(1))
 
   # Assemble the DSL text in an order that respects definite assignment:
@@ -510,7 +585,7 @@ model_to_dsl <- function(model) {
     out$out
   )
 
-  paste(lines, collapse = "\n")
+  list(dsl = paste(lines, collapse = "\n"), remap = routes_result$remap)
 }
 
 # Assemble DSL text for an analytical (library-structure) model.
@@ -549,7 +624,9 @@ dsl_analytical <- function(model, header, derived, parameters) {
     out$out
   )
 
-  paste(lines, collapse = "\n")
+  # Analytical (library-structure) models declare no explicit routes, so there
+  # is nothing to remap.
+  list(dsl = paste(lines, collapse = "\n"), remap = list())
 }
 
 # Number of states (compartments) for a DSL analytical structure.
diff --git a/src/rust/src/settings.rs b/src/rust/src/settings.rs
index a071b3904..0100135e8 100644
--- a/src/rust/src/settings.rs
+++ b/src/rust/src/settings.rs
@@ -101,21 +101,33 @@ pub(crate) fn settings(settings: List, params: &[String], output_path: &str) ->
         }
         let outeq = outeq_1based - 1;
 
-        let gamlam = get_field(&em, "initial")?
-            .as_real()
-            .ok_or_else(|| anyhow!("error_models for outeq {} initial is not a real number", outeq_1based))?;
-        let type_vec = get_field(&em, "type")?
-            .as_string_vector()
-            .ok_or_else(|| anyhow!("error_models for outeq {} type is not a character vector", outeq_1based))?;
+        let gamlam = get_field(&em, "initial")?.as_real().ok_or_else(|| {
+            anyhow!(
+                "error_models for outeq {} initial is not a real number",
+                outeq_1based
+            )
+        })?;
+        let type_vec = get_field(&em, "type")?.as_string_vector().ok_or_else(|| {
+            anyhow!(
+                "error_models for outeq {} type is not a character vector",
+                outeq_1based
+            )
+        })?;
         let err_type = type_vec
             .first()
             .ok_or_else(|| anyhow!("error_models for outeq {} type is empty", outeq_1based))?;
-        let fixed = get_field(&em, "fixed")?
-            .as_logical()
-            .ok_or_else(|| anyhow!("error_models for outeq {} fixed is not logical", outeq_1based))?;
-        let coeff = get_field(&em, "coeff")?
-            .as_real_vector()
-            .ok_or_else(|| anyhow!("error_models for outeq {} coeff is not a numeric vector", outeq_1based))?;
+        let fixed = get_field(&em, "fixed")?.as_logical().ok_or_else(|| {
+            anyhow!(
+                "error_models for outeq {} fixed is not logical",
+                outeq_1based
+            )
+        })?;
+        let coeff = get_field(&em, "coeff")?.as_real_vector().ok_or_else(|| {
+            anyhow!(
+                "error_models for outeq {} coeff is not a numeric vector",
+                outeq_1based
+            )
+        })?;
         if coeff.len() < 4 {
             bail!(
                 "error_models for outeq {} coeff must have at least 4 values, got {}",

From a297a22f4c8f9b5b16b9585f1479ee3194ac707e Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Mon, 13 Jul 2026 14:39:31 +0200
Subject: [PATCH 03/16] WIP

---
 R/Deprecated.R       |   4 +-
 R/PM_model.R         | 157 +---------
 R/model_analysis.R   | 177 +++++++++++
 R/model_dsl.R        |  22 ++
 R/model_transpiler.R | 688 -------------------------------------------
 R/zzz.R              |  11 -
 README.Rmd           |  13 +-
 README.md            |  21 +-
 8 files changed, 239 insertions(+), 854 deletions(-)
 create mode 100644 R/model_analysis.R
 delete mode 100755 R/model_transpiler.R

diff --git a/R/Deprecated.R b/R/Deprecated.R
index bbd8af619..61ff2a4c6 100755
--- a/R/Deprecated.R
+++ b/R/Deprecated.R
@@ -241,13 +241,13 @@ make_valid <- function(...) {
 #' @description
 #' `r lifecycle::badge("deprecated")`
 #'
-#' Use PM_build instead.
+#' Building is no longer required; models are compiled just-in-time at run time.
 #' @param ... Not used
 #' @author Michael Neely
 #' @keywords internal
 #' @export
 PMbuild <- function(...) {
-  lifecycle::deprecate_warn("2.1.0", "PMbuild()", details = "Use PM_build() to compile Rust.")
+  lifecycle::deprecate_warn("2.1.0", "PMbuild()", details = "Building is no longer required; models are compiled just-in-time at run time.")
 }
 
 
diff --git a/R/PM_model.R b/R/PM_model.R
index 2437deddd..76c28c7ae 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -502,17 +502,18 @@ PM_model <- R6::R6Class(
         if (has_dynamic_indices) {
           msg <- c(
             msg,
-            "ODE models must use literal compartment, input, and output indices so the Rust {.code ode!} macro can infer model dimensions."
+            "ODE models must use literal compartment, input, and output indices so the model dimensions can be inferred."
           )
         }
       }
 
-      solver_rust <- NULL
       if (!is.null(self$arg_list$solver)) {
         if (type != "ODE") {
           msg <- c(msg, "{.arg solver} is only supported for ODE models.")
         } else {
-          solver_rust <- ode_solver_to_rust(self$arg_list$solver)
+          # Validate the solver name. The DSL backend currently uses its default
+          # solver, so the value is advisory.
+          validate_ode_solver(self$arg_list$solver)
         }
       }
 
@@ -680,66 +681,6 @@ PM_model <- R6::R6Class(
         }
       } # end parameter checks for Analytical model
 
-      # if Analytical, need to combine sec and eqn
-      if (type == "Analytical") {
-        # shell function
-        sec_eqn <- function() {}
-        sec_body <- if (!is.null(self$arg_list$sec)) as.list(body(self$arg_list$sec))[-1] else list()
-        # define the body of the shell function
-        body(sec_eqn) <- suppressWarnings(as.call(c(
-          quote(`{`),
-          as.list(body(self$arg_list$eqn))[-1], # remove outer `{` of f1
-          sec_body # remove outer `{` of f2
-        )))
-
-        # this will include template and equations in both sec and eqn
-      }
-
-      # sec
-      # still needed for analytic, because these equations will be used
-      # in other blocks
-
-      if (!is.null(self$arg_list$sec)) {
-        sec <- transpile_sec(self$arg_list$sec)
-      } else {
-        sec <- ""
-      }
-
-      # eqn
-      if (type == "ODE") {
-        eqn <- transpile_ode_eqn(self$arg_list$eqn, parameters, covariates, sec)
-      } else if (type == "Analytical") {
-        eqn <- transpile_analytic_eqn(sec_eqn, parameters, covariates)
-      }
-
-      # fa
-      if (!is.null(self$arg_list$fa)) {
-        fa <- transpile_fa(self$arg_list$fa, parameters, covariates, sec)
-      } else {
-        fa <- empty_fa()
-      }
-
-      # lag
-      if (!is.null(self$arg_list$lag)) {
-        lag <- transpile_lag(self$arg_list$lag, parameters, covariates, sec)
-      } else {
-        lag <- empty_lag()
-      }
-
-      # ini
-      if (!is.null(self$arg_list$ini)) {
-        ini <- transpile_ini(self$arg_list$ini, parameters, covariates, sec)
-      } else {
-        ini <- empty_ini()
-      }
-
-      # out
-      if (!is.null(self$arg_list$out)) {
-        out <- transpile_out(self$arg_list$out, parameters, covariates, sec)
-      } else {
-        out <- empty_out()
-      }
-
       # err
       if (is.null(self$arg_list$err)) {
         msg <- c(msg, "Error model is missing and required.")
@@ -772,15 +713,11 @@ PM_model <- R6::R6Class(
         "user"
       }
 
-      # build the model list of rust components
+      # build the model list of model components. The model equations are kept
+      # as the original R functions in `arg_list`; only structural metadata and
+      # counts are stored here (used for validation and output parsing).
       model_list <- list(
         pri = self$arg_list$pri,
-        eqn = eqn,
-        sec = sec,
-        lag = lag,
-        fa = fa,
-        ini = ini,
-        out = out,
         n_eqn = n_eqn,
         n_eqn_slots = n_eqn_slots,
         n_drug = n_drug,
@@ -804,7 +741,6 @@ PM_model <- R6::R6Class(
 
       # this one needs to be capital
       self$model_list$type <- type
-      self$model_list$solver_rust <- solver_rust
 
 
       # Abort if errors
@@ -1114,14 +1050,16 @@ PM_model <- R6::R6Class(
         bolus <- unique(data$standard_data$input[data$standard_data$dur == 0]) |> purrr::discard(~ is.na(.x))
         infusion <- unique(data$standard_data$input[data$standard_data$dur > 0]) |> purrr::discard(~ is.na(.x))
         if (length(bolus) > 0) {
-          missing_bolus <- bolus[!stringr::str_detect(self$model_list$eqn, paste0("b\\[", bolus, "\\]"))]
+          model_bolus <- eqn_route_inputs(self$arg_list$eqn, "bolus")
+          missing_bolus <- setdiff(bolus, model_bolus)
           if (length(missing_bolus) > 0) {
             msg <- c(msg, "Bolus input(s) {paste(missing_bolus, collapse = ', ')} {?is/are} missing from the model equations. Use {.code b[{missing_bolus}]} or {.code bolus[{missing_bolus}]}, for example, to represent bolus inputs in the equations.")
             run_error <- run_error + 1
           }
         }
         if (length(infusion) > 0) {
-          missing_infusion <- infusion[!stringr::str_detect(self$model_list$eqn, paste0("rateiv\\[", infusion, "\\]"))]
+          model_infusion <- eqn_route_inputs(self$arg_list$eqn, "infusion")
+          missing_infusion <- setdiff(infusion, model_infusion)
           if (length(missing_infusion) > 0) {
             msg <- c(msg, "Infusion input(s) {paste(missing_infusion, collapse = ', ')} {?is/are} missing from the model equations. Use {.code r[{missing_infusion}]} or {.code rateiv[{missing_infusion}]} , for example, to represent infusion inputs in the equations.")
             run_error <- run_error + 1
@@ -1982,65 +1920,6 @@ PM_model <- R6::R6Class(
       return(arg_list)
     }, # end R6fromFile
 
-    write_model_to_rust = function(file_path = "main.rs") {
-      # Check if model_list is not NULL
-      if (is.null(self$model_list)) {
-        cli::cli_abort(c("x" = "Model list is empty.", "i" = "Please provide a valid model list."))
-      }
-
-      if (self$model_list$type == "ODE") {
-        placeholders <- c("eqn", "lag", "fa", "ini", "out")
-        base <- paste0(
-          "{\n",
-          "  #[allow(unused_assignments)]\n",
-          "  #[allow(unused_mut)]\n",
-          "  #[allow(unused_variables)]\n",
-          "  fn build_eqn() -> impl Equation {\n",
-          "    ode! {\n",
-          "     diffeq: <eqn>,\n",
-          "     lag: <lag>,\n",
-          "     fa: <fa>,\n",
-          "     init: <ini>,\n",
-          "     out: <out>,\n",
-          "    }",
-          if (!is.null(self$model_list$solver_rust)) {
-            paste0("\n    .with_solver(", self$model_list$solver_rust, ")")
-          } else {
-            ""
-          },
-          "\n  }\n",
-          "  build_eqn()\n",
-          "}"
-        )
-      } else if (self$model_list$type == "Analytical") {
-        placeholders <- c("eqn", "lag", "fa", "ini", "out", "n_eqn_slots", "n_drug_slots", "n_out_slots")
-        base <- paste0(
-          "{\n",
-          "  #[allow(unused_assignments)]\n",
-          "  #[allow(unused_mut)]\n",
-          "  #[allow(unused_variables)]\n",
-          "  fn build_eqn() -> impl Equation {\n",
-          "    equation::Analytical::new(\n",
-          paste("<", placeholders[1:5], ">", sep = "", collapse = ",\n     "),
-          "\n    )\n",
-          "    .with_nstates(<n_eqn_slots>)\n",
-          "    .with_ndrugs(<n_drug_slots>)\n",
-          "    .with_nout(<n_out_slots>)\n",
-          "  }\n",
-          "  build_eqn()\n",
-          "}"
-        )
-      } else {
-        cli::cli_abort(c("x" = "Invalid model type.", "i" = "Please provide a valid model type."))
-      }
-
-
-      # Replace placeholders in the base string with actual values from model_list
-      base <- placeholders |>
-        purrr::reduce(\(x, y) stringr::str_replace(x, stringr::str_c("<", y, ">"), as.character(self$model_list[[y]])), .init = base)
-      # Write the model to a file
-      writeLines(base, file_path)
-    },
     from_file = function(file_path) {
       self$model_list <- private$makeR6model(model_filename)
     },
@@ -2050,7 +1929,7 @@ PM_model <- R6::R6Class(
   ) # end private
 ) # end R6Class PM_model
 
-ode_solver_to_rust <- function(solver) {
+validate_ode_solver <- function(solver) {
   if (!is.character(solver) || length(solver) != 1) {
     cli::cli_abort(c(
       "x" = "{.arg solver} must be a single character value.",
@@ -2058,18 +1937,14 @@ ode_solver_to_rust <- function(solver) {
     ))
   }
 
-  solver <- tolower(solver)
-
-  switch(solver,
-    bdf = "OdeSolver::Bdf",
-    trbdf2 = "OdeSolver::Sdirk(SdirkTableau::TrBdf2)",
-    esdirk34 = "OdeSolver::Sdirk(SdirkTableau::Esdirk34)",
-    tsit45 = "OdeSolver::ExplicitRk(ExplicitRkTableau::Tsit45)",
+  if (!tolower(solver) %in% c("bdf", "trbdf2", "esdirk34", "tsit45")) {
     cli::cli_abort(c(
       "x" = "Unsupported {.arg solver} value: {.val {solver}}.",
       "i" = "Supported values are 'BDF', 'TRBDF2', 'ESDIRK34', and 'TSIT45'."
     ))
-  )
+  }
+
+  invisible(solver)
 }
 
 ##### These functions create various model components
diff --git a/R/model_analysis.R b/R/model_analysis.R
new file mode 100644
index 000000000..680eded5c
--- /dev/null
+++ b/R/model_analysis.R
@@ -0,0 +1,177 @@
+# Static analysis helpers for Pmetrics model blocks.
+#
+# These functions inspect the R expressions written inside model blocks (e.g.
+# `eqn`, `out`, `lag`, `fa`, `ini`) to infer structural information such as the
+# number of compartments and outputs, the maximum indices used, and reserved
+# name conflicts. They operate purely on the R abstract syntax tree; models are
+# rendered to the pharmsol DSL by `model_to_dsl()` (see `model_dsl.R`) and
+# compiled just-in-time by the Rust backend.
+
+# Size of a dense vector needed to hold indices up to `max_index` (1-based
+# indices, so a maximum index of `n` needs `n + 1` slots to allow slot 0).
+index_vector_size <- function(max_index) {
+  if (max_index <= 0L) {
+    return(1L)
+  }
+
+  max_index + 1L
+}
+
+# Largest literal index used to *read* any of `targets` (e.g. `x[3]` -> 3).
+get_max_index <- function(fn_or_expr, targets) {
+  targets <- tolower(targets)
+
+  walk_expr <- function(expr) {
+    if (is.call(expr) && identical(expr[[1]], as.name("["))) {
+      target_name <- tolower(as.character(expr[[2]]))
+      if (target_name %in% targets) {
+        idx <- expr[[3]]
+        if (is.numeric(idx) && length(idx) == 1) {
+          return(as.integer(idx))
+        }
+      }
+    }
+
+    if (is.call(expr)) {
+      return(max(vapply(as.list(expr), walk_expr, integer(1)), 0L))
+    }
+
+    0L
+  }
+
+  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
+  walk_expr(expr)
+}
+
+# Sorted, unique literal indices *assigned* to any of `targets`
+# (e.g. `dx[2] <- ...` -> 2).
+get_assignment_indices <- function(fn_or_expr, targets) {
+  targets <- tolower(targets)
+  found <- integer(0)
+
+  walk_expr <- function(expr) {
+    if (!is.call(expr)) {
+      return(invisible(NULL))
+    }
+
+    if (identical(expr[[1]], as.name("<-")) || identical(expr[[1]], as.name("="))) {
+      lhs <- expr[[2]]
+      if (is.call(lhs) && identical(lhs[[1]], as.name("["))) {
+        target_name <- tolower(as.character(lhs[[2]]))
+        idx <- lhs[[3]]
+        if (target_name %in% targets && is.numeric(idx) && length(idx) == 1) {
+          found <<- c(found, as.integer(idx))
+        }
+      }
+    }
+
+    lapply(as.list(expr), walk_expr)
+    invisible(NULL)
+  }
+
+  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
+  walk_expr(expr)
+  sort(unique(found))
+}
+
+# Largest literal index assigned to any of `targets`.
+get_max_assignment_index <- function(fn_or_expr, targets) {
+  found <- get_assignment_indices(fn_or_expr, targets)
+  if (length(found) == 0) {
+    return(0L)
+  }
+  max(found)
+}
+
+# TRUE if any of `targets` is indexed with a non-literal (dynamic) index, e.g.
+# `x[i]`. Such models cannot have their dimensions inferred statically.
+has_nonliteral_index <- function(fn_or_expr, targets) {
+  targets <- tolower(targets)
+
+  walk_expr <- function(expr) {
+    if (is.call(expr) && identical(expr[[1]], as.name("["))) {
+      target_name <- tolower(as.character(expr[[2]]))
+      if (target_name %in% targets) {
+        idx <- expr[[3]]
+        return(!(is.numeric(idx) && length(idx) == 1))
+      }
+    }
+
+    if (is.call(expr)) {
+      return(any(vapply(as.list(expr), walk_expr, logical(1))))
+    }
+
+    FALSE
+  }
+
+  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
+  walk_expr(expr)
+}
+
+# Count the number of indexed assignments to `assign` (e.g. how many `dx[...]`
+# or `y[...]` equations a block contains).
+get_assignments <- function(fn, assign) {
+  count_assignments <- function(expr) {
+    if (is.call(expr)) {
+      if (identical(expr[[1]], as.name("<-")) || identical(expr[[1]], as.name("="))) {
+        lhs <- expr[[2]]
+        # Check if lhs is an indexing call (i.e., assign[...] <- ...)
+        if (is.call(lhs) && identical(lhs[[1]], as.name("["))) {
+          target_name <- as.character(lhs[[2]])
+          if (tolower(target_name) == tolower(assign)) {
+            return(1 + count_assignments(expr[[3]]))
+          }
+        }
+        return(count_assignments(expr[[2]]) + count_assignments(expr[[3]]))
+      } else {
+        return(sum(sapply(expr, count_assignments)))
+      }
+    }
+    return(0)
+  }
+
+  body_expr <- body(fn)
+  count_assignments(body_expr)
+}
+
+# Detect use of reserved engine names (e.g. `x`, `dx`, `b`, `rateiv`) as
+# user-defined variables in model blocks.
+reserved_name_conflicts <- function(blocks) {
+  reserved <- c(
+    "t",
+    "x",
+    "dx",
+    "p",
+    "b",
+    "bolus",
+    "r",
+    "rateiv",
+    "cov",
+    "y"
+  )
+
+  conflicts <- purrr::map(blocks, \(b) {
+    purrr::map_chr(reserved, \(r) {
+      if (is.function(b)) {
+        b <- func_to_char(b)
+      }
+      if (is.list(b)) {
+        b <- names(b)
+        con_match <- stringr::str_detect(tolower(b), glue::glue("^\\b{r}\\b")) # stand alone
+      } else {
+        con_match <- stringr::str_detect(tolower(b), glue::glue("^{r}\\s+[=<]")) # assignment in function
+      }
+
+      if (any(con_match)) {
+        return(r)
+      } else {
+        return(NA_character_)
+      }
+    })
+  }) |>
+    unlist() |>
+    purrr::discard(\(d) is.na(d)) |>
+    unique()
+
+  return(conflicts)
+}
diff --git a/R/model_dsl.R b/R/model_dsl.R
index 79caaccb8..ffc6fbe4f 100644
--- a/R/model_dsl.R
+++ b/R/model_dsl.R
@@ -177,6 +177,28 @@ dsl_route_of <- function(expr) {
   NULL
 }
 
+# Return the sorted, unique data input indices referenced by bolus (`b[]` /
+# `bolus[]`) or infusion (`rateiv[]` / `r[]`) terms in a model equation function.
+# Used to validate that the model represents every dose input present in the data.
+eqn_route_inputs <- function(fun, kind = c("bolus", "infusion")) {
+  kind <- match.arg(kind)
+  targets <- if (kind == "bolus") c("b", "bolus") else c("rateiv", "r")
+  found <- integer(0)
+  walk <- function(expr) {
+    if (is.call(expr)) {
+      if (identical(expr[[1]], as.name("[")) &&
+        tolower(as.character(expr[[2]])) %in% targets &&
+        is.numeric(expr[[3]]) && length(expr[[3]]) == 1) {
+        found <<- c(found, as.integer(expr[[3]]))
+      }
+      lapply(as.list(expr), walk)
+    }
+    invisible(NULL)
+  }
+  walk(if (is.function(fun)) body(fun) else fun)
+  sort(unique(found))
+}
+
 # Build a DSL expression string from a list of signed terms.
 dsl_join_terms <- function(terms) {
   if (length(terms) == 0) {
diff --git a/R/model_transpiler.R b/R/model_transpiler.R
deleted file mode 100755
index 116276f8c..000000000
--- a/R/model_transpiler.R
+++ /dev/null
@@ -1,688 +0,0 @@
-# R-to-Rust transpiler for Pmetrics model blocks.
-#
-# ---------------------------------------------------------------------------
-# Supported R functions and operations
-# ---------------------------------------------------------------------------
-# The transpiler converts the R code written inside model blocks (e.g. `eqn`,
-# `sec`, `fa`, `lag`, `ini`, `out`) into Rust. Only the functions and operators
-# listed below are recognized. Using anything else triggers an informative
-# error from `expr_to_rust()` naming the unsupported function or operator.
-#
-# Grouping / structure
-#   ( )            parentheses for grouping
-#   { }            statement blocks
-#   if / else      conditional expressions
-#   for            for-loops, e.g. `for (i in 1:n) { ... }`
-#   <-  =          assignment (to scalars or indexed vectors such as `dx[1]`)
-#   x[i]           indexing of vectors (e.g. `x[1]`, `dx[2]`, `p[3]`)
-#
-# Arithmetic operators
-#   +  -  *  /  ^  (binary and unary +/-)
-#
-# Comparison operators
-#   ==  !=  >=  <=  >  <
-#
-# Logical operators
-#   &  |  !       (transpiled to Rust `&&`, `||`, `!`)
-#
-# Mathematical functions
-#   abs, exp, sqrt
-#   ln, log (natural log), log10, log2
-#
-# Trigonometric functions
-#   sin, cos, tan, asin, acos, atan, atan2
-#
-# Hyperbolic functions
-#   sinh, cosh, tanh, asinh, acosh, atanh
-#
-# Rounding functions
-#   floor, ceiling, round, trunc
-#
-# Pmetrics helper functions
-#   get_e2
-#
-# NOTE: Keep `supported_transpiler_ops()` (below) in sync with the `switch()`
-# in `expr_to_rust()` so error messages stay accurate.
-# ---------------------------------------------------------------------------
-
-# Human-readable catalogue of supported operations, grouped by category.
-# Used to build helpful error messages when an unsupported function or
-# operator is encountered. Must mirror the `switch()` in `expr_to_rust()`.
-supported_transpiler_ops <- function() {
-  list(
-    "Grouping/structure" = c("(", "{", "if", "else", "for", "<-", "=", "[ ] (indexing)"),
-    "Arithmetic" = c("+", "-", "*", "/", "^"),
-    "Comparison" = c("==", "!=", ">=", "<=", ">", "<"),
-    "Logical" = c("&", "|", "!"),
-    "Math" = c("abs", "exp", "sqrt", "ln", "log", "log10", "log2"),
-    "Trigonometric" = c("sin", "cos", "tan", "asin", "acos", "atan", "atan2"),
-    "Hyperbolic" = c("sinh", "cosh", "tanh", "asinh", "acosh", "atanh"),
-    "Rounding" = c("floor", "ceiling", "round", "trunc"),
-    "Pmetrics helpers" = c("get_e2")
-  )
-}
-
-# Raise an informative error naming the unsupported function/operator and
-# listing what the transpiler does support.
-abort_unsupported_op <- function(op) {
-  ops <- supported_transpiler_ops()
-  operators <- c(
-    ops$Arithmetic, ops$Comparison, ops$Logical,
-    "(", "{", "if", "else", "for", "<-", "=", "[ ]"
-  )
-  is_operator <- op %in% operators
-  kind <- if (is_operator) "operator" else "function"
-
-  supported_lines <- vapply(
-    names(ops),
-    function(cat) {
-      members <- paste(ops[[cat]], collapse = ", ")
-      # Escape braces so cli does not treat them as glue interpolation.
-      members <- gsub("\\{", "{{", members)
-      members <- gsub("\\}", "}}", members)
-      sprintf("{.strong %s}: %s", cat, members)
-    },
-    character(1)
-  )
-  names(supported_lines) <- rep("*", length(supported_lines))
-
-  cli::cli_abort(c(
-    "x" = "Unsupported {kind} {.val {op}} in model block.",
-    "i" = "The model transpiler does not know how to convert {.val {op}} to Rust.",
-    "i" = "Supported functions and operators are:",
-    supported_lines
-  ))
-}
-
-index_vector_size <- function(max_index) {
-  if (max_index <= 0L) {
-    return(1L)
-  }
-
-  max_index + 1L
-}
-
-get_max_index <- function(fn_or_expr, targets) {
-  targets <- tolower(targets)
-
-  walk_expr <- function(expr) {
-    if (is.call(expr) && identical(expr[[1]], as.name("["))) {
-      target_name <- tolower(as.character(expr[[2]]))
-      if (target_name %in% targets) {
-        idx <- expr[[3]]
-        if (is.numeric(idx) && length(idx) == 1) {
-          return(as.integer(idx))
-        }
-      }
-    }
-
-    if (is.call(expr)) {
-      return(max(vapply(as.list(expr), walk_expr, integer(1)), 0L))
-    }
-
-    0L
-  }
-
-  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
-  walk_expr(expr)
-}
-
-get_assignment_indices <- function(fn_or_expr, targets) {
-  targets <- tolower(targets)
-  found <- integer(0)
-
-  walk_expr <- function(expr) {
-    if (!is.call(expr)) {
-      return(invisible(NULL))
-    }
-
-    if (identical(expr[[1]], as.name("<-")) || identical(expr[[1]], as.name("="))) {
-      lhs <- expr[[2]]
-      if (is.call(lhs) && identical(lhs[[1]], as.name("["))) {
-        target_name <- tolower(as.character(lhs[[2]]))
-        idx <- lhs[[3]]
-        if (target_name %in% targets && is.numeric(idx) && length(idx) == 1) {
-          found <<- c(found, as.integer(idx))
-        }
-      }
-    }
-
-    lapply(as.list(expr), walk_expr)
-    invisible(NULL)
-  }
-
-  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
-  walk_expr(expr)
-  sort(unique(found))
-}
-
-get_max_assignment_index <- function(fn_or_expr, targets) {
-  found <- get_assignment_indices(fn_or_expr, targets)
-  if (length(found) == 0) {
-    return(0L)
-  }
-  max(found)
-}
-
-has_nonliteral_index <- function(fn_or_expr, targets) {
-  targets <- tolower(targets)
-
-  walk_expr <- function(expr) {
-    if (is.call(expr) && identical(expr[[1]], as.name("["))) {
-      target_name <- tolower(as.character(expr[[2]]))
-      if (target_name %in% targets) {
-        idx <- expr[[3]]
-        return(!(is.numeric(idx) && length(idx) == 1))
-      }
-    }
-
-    if (is.call(expr)) {
-      return(any(vapply(as.list(expr), walk_expr, logical(1))))
-    }
-
-    FALSE
-  }
-
-  expr <- if (is.function(fn_or_expr)) body(fn_or_expr) else fn_or_expr
-  walk_expr(expr)
-}
-
-# Convert an R expression to Rust code (recursive)
-expr_to_rust <- function(
-  expr, params = NULL, covs = NULL,
-  declared = new.env(parent = emptyenv())
-) {
-  declared_has <- function(name) isTRUE(get0(name, envir = declared, inherits = FALSE))
-  declared_add <- function(name) assign(name, TRUE, envir = declared)
-
-  # Base cases: numeric literals as floats, symbols
-  if (is.numeric(expr) && length(expr) == 1) {
-    val <- expr
-    if (val == floor(val)) {
-      return(sprintf("%d.0", as.integer(val)))
-    } else {
-      return(as.character(val))
-    }
-  }
-  if (is.symbol(expr)) {
-    return(as.character(expr))
-  }
-
-  # Handle indexing.
-  if (is.call(expr) && as.character(expr[[1]]) == "[") {
-    var <- as.character(expr[[2]])
-    idx_raw <- expr[[3]]
-    if (is.numeric(idx_raw) && length(idx_raw) == 1) {
-      return(sprintf("%s[%d]", var, as.integer(idx_raw)))
-    } else {
-      idx_code <- expr_to_rust(idx_raw, params, covs, declared)
-      return(sprintf("%s[%s]", var, idx_code))
-    }
-  }
-
-  if (!is.call(expr)) stop("Unknown expression type")
-  op <- as.character(expr[[1]])
-  args <- as.list(expr[-1])
-  rust_args <- lapply(args, expr_to_rust,
-    params = params, covs = covs,
-    declared = declared
-  )
-  switch(op,
-    # Grouping
-    "(" = sprintf("(%s)", rust_args[[1]]),
-    "{" = {
-      inner <- if (length(args) == 0) {
-        character(0)
-      } else {
-        # turn each inner expr into a statement, joined by newlines
-        inner_exprs <- as.list(args)
-        paste(
-          vapply(inner_exprs, function(e) {
-            expr_to_rust(e, params, covs, declared)
-          }, character(1)),
-          collapse = "\n"
-        )
-      }
-      inner
-    },
-
-    # Arithmetic
-    "+" = if (length(rust_args) == 1) {
-      sprintf("+(%s)", rust_args[[1]])
-    } else {
-      sprintf("%s + %s", rust_args[[1]], rust_args[[2]])
-    },
-    "-" = if (length(rust_args) == 1) {
-      sprintf("-(%s)", rust_args[[1]])
-    } else {
-      sprintf("(%s) - (%s)", rust_args[[1]], rust_args[[2]])
-    },
-    "*" = sprintf("%s * %s", rust_args[[1]], rust_args[[2]]),
-    "/" = sprintf("%s / %s", rust_args[[1]], rust_args[[2]]),
-    "^" = if (suppressWarnings(!is.na(as.numeric(rust_args[[1]])))) {
-      sprintf("(%sf64).powf(%s)", rust_args[[1]], rust_args[[2]])
-    } else {
-      sprintf("(%s).powf(%s)", rust_args[[1]], rust_args[[2]])
-    },
-
-    # Comparison
-    "==" = sprintf("%s == %s", rust_args[[1]], rust_args[[2]]),
-    "!=" = sprintf("%s != %s", rust_args[[1]], rust_args[[2]]),
-    ">=" = sprintf("%s >= %s", rust_args[[1]], rust_args[[2]]),
-    "<=" = sprintf("%s <= %s", rust_args[[1]], rust_args[[2]]),
-    ">" = sprintf("%s > %s", rust_args[[1]], rust_args[[2]]),
-    "<" = sprintf("%s < %s", rust_args[[1]], rust_args[[2]]),
-
-    # Logical
-    "&" = sprintf("%s && %s", rust_args[[1]], rust_args[[2]]),
-    "|" = sprintf("%s || %s", rust_args[[1]], rust_args[[2]]),
-    "!" = sprintf("!(%s)", rust_args[[1]]),
-
-    # Math funcs
-    "abs" = sprintf("(%s).abs()", rust_args[[1]]),
-    "ln" = sprintf("(%s).ln()", rust_args[[1]]),
-    "log" = sprintf("(%s).ln()", rust_args[[1]]),
-    "log10" = sprintf("(%s).log10()", rust_args[[1]]),
-    "log2" = sprintf("(%s).log2()", rust_args[[1]]),
-    "exp" = sprintf("(%s).exp()", rust_args[[1]]),
-    "sqrt" = sprintf("(%s).sqrt()", rust_args[[1]]),
-
-    # Trigonometric
-    "sin" = sprintf("(%s).sin()", rust_args[[1]]),
-    "cos" = sprintf("(%s).cos()", rust_args[[1]]),
-    "tan" = sprintf("(%s).tan()", rust_args[[1]]),
-    "asin" = sprintf("(%s).asin()", rust_args[[1]]),
-    "acos" = sprintf("(%s).acos()", rust_args[[1]]),
-    "atan" = sprintf("(%s).atan()", rust_args[[1]]),
-    "atan2" = sprintf("(%s).atan2(%s)", rust_args[[1]], rust_args[[2]]),
-
-    # Hyperbolic
-    "sinh" = sprintf("(%s).sinh()", rust_args[[1]]),
-    "cosh" = sprintf("(%s).cosh()", rust_args[[1]]),
-    "tanh" = sprintf("(%s).tanh()", rust_args[[1]]),
-    "asinh" = sprintf("(%s).asinh()", rust_args[[1]]),
-    "acosh" = sprintf("(%s).acosh()", rust_args[[1]]),
-    "atanh" = sprintf("(%s).atanh()", rust_args[[1]]),
-
-    # Rounding
-    "floor" = sprintf("(%s).floor()", rust_args[[1]]),
-    "ceiling" = sprintf("(%s).ceil()", rust_args[[1]]),
-    "round" = sprintf("(%s).round()", rust_args[[1]]),
-    "trunc" = sprintf("(%s).trunc()", rust_args[[1]]),
-
-    # Assignment
-    "<-" = ,
-    "=" = {
-      lhs <- args[[1]]
-      rhs_code <- rust_args[[2]]
-
-      if (is.symbol(lhs)) {
-        name <- as.character(lhs)
-        if (declared_has(name)) {
-          sprintf("%s = %s;", name, rhs_code)
-        } else {
-          declared_add(name)
-          sprintf("let mut %s = %s;", name, rhs_code)
-        }
-      } else {
-        # e.g., dx[1] = ...
-        lhs_code <- expr_to_rust(lhs, params, covs, declared)
-        sprintf("%s = %s;", lhs_code, rhs_code)
-      }
-    },
-
-
-    # If
-    "if" = {
-      cond <- rust_args[[1]]
-      then_code <- expr_to_rust(args[[2]], params, covs, declared)
-      if (length(args) == 3) {
-        else_code <- expr_to_rust(args[[3]], params, covs, declared)
-        sprintf("if %s { %s } else { %s }", cond, then_code, else_code)
-      } else {
-        sprintf("if %s { %s }", cond, then_code)
-      }
-    },
-
-    # For (left as-is; thread declared through)
-    "for" = {
-      var <- as.character(args[[1]])
-      n_sym <- as.character(args[[2]][[3]])
-      loop_exprs <- if (is.call(args[[3]]) && as.character(args[[3]][[1]]) == "{") {
-        as.list(args[[3]][-1])
-      } else {
-        list(args[[3]])
-      }
-      body <- stmts_to_rust(loop_exprs, params, covs)
-      sprintf("for %s in 0..%s as usize {\n%s}\n", var, n_sym, indent(body))
-    },
-
-    # Pmetrics functions
-    "get_e2" = {
-      sprintf(
-        "get_e2(%s, %s, %s, %s, %s, %s);",
-        rust_args[[1]], rust_args[[2]], rust_args[[3]],
-        rust_args[[4]], rust_args[[5]], rust_args[[6]]
-      )
-    },
-    abort_unsupported_op(op)
-  )
-}
-
-
-# Helpers: convert list of statements to Rust and indent blocks
-stmts_to_rust <- function(
-  exprs, params = NULL, covs = NULL
-) {
-  lines <- vapply(
-    exprs,
-    expr_to_rust,
-    character(1),
-    params = params,
-    covs = covs
-  )
-  tolower(paste(lines, collapse = "\n")) # rust is case sensitive, make everything lowercase
-}
-
-indent <- function(text, spaces = 4) {
-  prefix <- strrep(" ", spaces)
-  paste0(prefix, gsub("\n", paste0("\n", prefix), text))
-}
-
-# Transpile an R ODE function to Rust closure
-transpile_ode_eqn <- function(fun, params, covs, sec) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") as.list(body(fun)[-1]) else list(body(fun))
-  header <- sprintf(
-    "|x, p, t, dx, b, rateiv, cov| {\n    fetch_cov!(cov, t, %s);\n    fetch_params!(p, %s); %s",
-    paste(covs, collapse = ", "),
-    paste(params, collapse = ", "),
-    paste(sec, collapse = ", ")
-  )
-  body_rust <- stmts_to_rust(exprs, params, covs) |>
-    stringr::str_replace_all("bolus\\[", "b\\[") |>
-    stringr::str_replace_all("r\\[", "rateiv\\[")
-  sprintf("%s\n%s\n }", header, indent(body_rust, spaces = 4))
-}
-
-
-transpile_analytic_eqn <- function(
-  fun, params, covs
-) {
-  if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") {
-    found <- get_found_model(fun)
-    if (length(found) == 1) { # NA
-      cli::cli_abort(c(
-        "x" = "No ODE and no library model templates found.",
-        "i" = "EQN block must contain ODEs or a single library model template name."
-      ))
-    }
-    tem <- found$name
-    eqns <- as.list(body(fun)[-1])
-    if (length(eqns) > 0) {
-      eqns_char <- map_chr(eqns, \(x) paste(deparse(x, width.cutoff = 500L), collapse = "\n"))
-      # check for ODE, which should not be present
-      if (any(stringr::str_detect(eqns_char, regex("dx\\[\\d+\\]", ignore_case = TRUE)))) {
-        cli::cli_abort(c(
-          "x" = "You appear to have included both a model library template and ODE.",
-          "i" = "EQN block must contain ODEs or a single library model template name, not both."
-        ))
-      }
-      exprs <- eqns[-which(eqns_char == found$name)]
-    } else {
-      exprs <- NULL
-    }
-  } else {
-    list(body(fun))
-  }
-
-  # map model name from R to rust
-  rust_tem <- dplyr::case_when(
-    tem == "one_comp_iv" ~ "pm_one_compartment",
-    tem == "one_comp_iv_cl" ~ "pm_one_compartment_cl",
-    tem == "one_comp_bolus" ~ "pm_one_compartment_with_absorption",
-    tem == "one_comp_bolus_cl" ~ "pm_one_compartment_cl_with_absorption",
-    tem == "two_comp_iv" ~ "pm_two_compartments",
-    tem == "two_comp_iv_cl" ~ "pm_two_compartments_cl",
-    tem == "two_comp_bolus" ~ "pm_two_compartments_with_absorption",
-    tem == "two_comp_bolus_cl" ~ "pm_two_compartments_cl_with_absorption",
-    tem == "three_comp_iv" ~ "pm_three_compartments",
-    tem == "three_comp_iv_cl" ~ "pm_three_compartments_cl",
-    tem == "three_comp_bolus" ~ "pm_three_compartments_with_absorption",
-    tem == "three_comp_bolus_cl" ~ "pm_three_compartments_cl_with_absorption",
-    .default = ""
-  )
-  if (rust_tem == "") {
-    cli::cli_abort(c(
-      "x" = "Model template not recognized or not supported in Rust.",
-      "i" = "See {.fn model_lib} for details on supported templates."
-    ))
-  }
-
-  header <- sprintf(
-    " %s ,\n |p, t, cov| {\n    fetch_cov!(cov, t, %s);\n    fetch_params!(&p, %s);",
-    rust_tem,
-    paste(covs, collapse = ", "),
-    paste(params, collapse = ", ")
-  )
-  body_rust <- stmts_to_rust(exprs)
-  # remap parameters
-  # req_par <- get(tem)$parameters |>
-  #   tolower() |>
-
-
-  # this block needs to write the equations, e.g. p[0] = ke, based on the parameters in the model template,
-  # not the parameters in the model. The model parameters may have different names, but are checked earlier.
-
-  req_par <- model_lib(show = FALSE) |>
-    filter(Name == tem) |>
-    select(Parameters) |>
-    stringr::str_split(", ", simplify = TRUE) |>
-    unlist() |>
-    tolower() |>
-    purrr::discard(~ .x == "v" & !tem %in% c("one_comp_iv_cl", "two_comp_bolus_cl")) |> # don't include V for models that don't need it in equations
-    purrr::imap_chr(\(x, y){
-      sprintf("p[%i] = %s;", y - 1, x)
-    }) |>
-    paste(collapse = "\n")
-
-  sprintf("%s\n%s\n%s\n }", header, indent(body_rust, spaces = 4), indent(req_par, spaces = 4))
-}
-
-transpile_sec <- function(fun) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") as.list(body(fun)[-1]) else list(body(fun))
-  body_rust <- stmts_to_rust(exprs)
-  sprintf("%s\n", indent(body_rust, spaces = 4))
-}
-
-
-transpile_fa <- function(
-  fun, params, covs, sec
-) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") {
-    as.list(body(fun)[-1])
-  } else {
-    list(body(fun))
-  }
-
-  find_max_idx <- function(expr) {
-    if (is.call(expr) && as.character(expr[[1]]) == "[" &&
-      tolower(as.character(expr[[2]])) == "fa" &&
-      is.numeric(expr[[3]])) {
-      return(as.integer(expr[[3]]))
-    }
-    if (is.call(expr)) {
-      return(max(sapply(as.list(expr), find_max_idx), 0L))
-    }
-    0L
-  }
-  max_fa <- max(sapply(exprs, find_max_idx), 0L)
-  arr_size <- index_vector_size(max_fa)
-
-  header <- sprintf(
-    "|p, t, cov| {\nfetch_params!(p, %s);\nfetch_cov!(cov, t, %s);\nlet mut fa: [f64; %d] = [0.0; %d];\n%s",
-    paste(params, collapse = ", "),
-    paste(covs, collapse = ", "),
-    arr_size, arr_size,
-    if (length(sec)) paste0("  ", paste(sec, collapse = "\n  "), "\n") else ""
-  )
-
-  body_lines <- stmts_to_rust(exprs, params = params, covs = covs)
-
-  slots <- seq_len(arr_size) - 1L
-  slot_args <- paste0(slots, "=> fa[", slots, "]", collapse = ", ")
-  footer <- sprintf("  fa!{%s}}", slot_args)
-
-  paste0(header, indent(body_lines, 2), "\n", footer)
-}
-
-
-transpile_lag <- function(
-  fun, params, covs, sec
-) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") {
-    as.list(body(fun)[-1])
-  } else {
-    list(body(fun))
-  }
-
-  find_max_idx <- function(expr) {
-    if (is.call(expr) && as.character(expr[[1]]) == "[" &&
-      tolower(as.character(expr[[2]])) == "lag" &&
-      is.numeric(expr[[3]])) {
-      return(as.integer(expr[[3]]))
-    }
-    if (is.call(expr)) {
-      return(max(sapply(as.list(expr), find_max_idx), 0L))
-    }
-    0L
-  }
-  max_lag <- max(sapply(exprs, find_max_idx), 0L)
-  arr_size <- index_vector_size(max_lag)
-
-  header <- sprintf(
-    "|p, t, cov| {\nfetch_params!(p, %s);\nfetch_cov!(cov, t, %s);\nlet mut lag: [f64; %d] = [0.0; %d];\n%s",
-    paste(params, collapse = ", "),
-    paste(covs, collapse = ", "),
-    arr_size, arr_size,
-    if (length(sec)) paste0("  ", paste(sec, collapse = "\n  "), "\n") else ""
-  )
-
-  body_lines <- stmts_to_rust(exprs, params = params, covs = covs)
-
-  slots <- seq_len(arr_size) - 1L
-  slot_args <- paste0(slots, "=> lag[", slots, "]", collapse = ", ")
-  footer <- sprintf("  lag!{%s}}", slot_args)
-
-  paste0(header, indent(body_lines, 2), "\n", footer)
-}
-
-transpile_ini <- function(
-  fun, params, covs, sec
-) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") as.list(body(fun)[-1]) else list(body(fun))
-  header <- sprintf(
-    "|p, t, cov, x| {\n    fetch_cov!(cov, t, %s);\n    fetch_params!(p, %s); %s",
-    paste(covs, collapse = ", "),
-    paste(params, collapse = ", "),
-    paste(sec, collapse = ", ")
-  )
-  body_rust <- stmts_to_rust(exprs, params, covs)
-  sprintf("%s\n%s\n }", header, indent(body_rust, spaces = 4))
-}
-
-transpile_out <- function(
-  fun, params, covs, sec
-) {
-  exprs <- if (is.call(body(fun)) && as.character(body(fun)[[1]]) == "{") as.list(body(fun)[-1]) else list(body(fun))
-  header <- sprintf(
-    "|x, p, t, cov, y| {\n    fetch_cov!(cov, t, %s);\n    fetch_params!(p, %s);\n%s",
-    paste(covs, collapse = ", "),
-    paste(params, collapse = ", "),
-    paste(sec, collapse = ", ")
-  )
-  body_rust <- stmts_to_rust(exprs, params, covs)
-  sprintf("%s\n%s\n }", header, indent(body_rust, spaces = 4))
-}
-
-empty_sec <- function() {
-  "|_p, _t, _cov| { }"
-}
-empty_fa <- function() {
-  "|_p,_t,_cov| fa! {}"
-}
-empty_lag <- function() {
-  "|_p,_t,_cov| lag! {}"
-}
-empty_ini <- function() {
-  "|_p, _t, _cov, _x| { }"
-}
-
-empty_out <- function() {
-  "|_x, _p, _t, _cov, _y| { }"
-}
-
-
-get_assignments <- function(fn, assign) {
-  count_assignments <- function(expr) {
-    if (is.call(expr)) {
-      if (identical(expr[[1]], as.name("<-")) || identical(expr[[1]], as.name("="))) {
-        lhs <- expr[[2]]
-        # Check if lhs is an indexing call (i.e., assign[...] <- ...)
-        if (is.call(lhs) && identical(lhs[[1]], as.name("["))) {
-          target_name <- as.character(lhs[[2]])
-          if (tolower(target_name) == tolower(assign)) {
-            return(1 + count_assignments(expr[[3]]))
-          }
-        }
-        return(count_assignments(expr[[2]]) + count_assignments(expr[[3]]))
-      } else {
-        return(sum(sapply(expr, count_assignments)))
-      }
-    }
-    return(0)
-  }
-
-  body_expr <- body(fn)
-  count_assignments(body_expr)
-}
-
-
-reserved_name_conflicts <- function(blocks) {
-  reserved <- c(
-    "t",
-    "x",
-    "dx",
-    "p",
-    "b",
-    "bolus",
-    "r",
-    "rateiv",
-    "cov",
-    "y"
-  )
-
-  conflicts <- purrr::map(blocks, \(b) {
-    purrr::map_chr(reserved, \(r) {
-      if (is.function(b)) {
-        b <- func_to_char(b)
-      }
-      if (is.list(b)) {
-        b <- names(b)
-        con_match <- stringr::str_detect(tolower(b), glue::glue("^\\b{r}\\b")) # stand alone
-      } else {
-        con_match <- stringr::str_detect(tolower(b), glue::glue("^{r}\\s+[=<]")) # assignment in function
-      }
-
-      if (any(con_match)) {
-        return(r)
-      } else {
-        return(NA_character_)
-      }
-    })
-  }) |>
-    unlist() |>
-    purrr::discard(\(d) is.na(d)) |>
-    unique()
-
-  return(conflicts)
-}
diff --git a/R/zzz.R b/R/zzz.R
index c5eec2556..d3b1c77fc 100755
--- a/R/zzz.R
+++ b/R/zzz.R
@@ -2,12 +2,6 @@
   if (interactive()) {
     installedVersion <- packageVersion("Pmetrics")
 
-    # Check Rust installation
-    rustcVersion <- tryCatch(
-      system("rustc --version", intern = TRUE),
-      error = function(e) NA
-    )
-
     cli::cli_div(theme = list(span.red = list(color = "red", "font-weight" = "bold")))
     cli::cli_h2("Welcome to Pmetrics {installedVersion}!")
     ul <- cli::cli_ul()
@@ -16,11 +10,6 @@
     cli::cli_li("View user {.strong options} with {.help setPMoptions}.")
     cli::cli_li("Model library loaded. View with {.help model_lib}.")
     cli::cli_li("Check for Pmetrics and R updates with {.help check_updates}.")
-    if (is.na(rustcVersion) || length(rustcVersion) == 0) {
-      cli::cli_li("{.red Warning:} Rust compiler not found. Please install Rust from https://www.rust-lang.org/tools/install")
-    } else {
-      cli::cli_li("Installed Rust version: {rustcVersion}")
-    }
     cli::cli_end(ul)
     pm_maybe_notify_updates()
   }
diff --git a/README.Rmd b/README.Rmd
index d6384ecc8..84d01e566 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -32,11 +32,16 @@ suggested donation.
 You can download and install [R](https://r-project.org) from the
 [Comprehensive R Archive Network (CRAN)](https://cran.r-project.org/).
 
-### Rust (required)
+### Rust (optional, for source installations only)
 
-The simulation engine for `Pmetrics` is written in `Rust`, which is required to fit models.
+The computational engine for `Pmetrics` is written in `Rust` and is bundled with
+the package. Models are compiled just-in-time at run time, so **Rust is not
+required to fit or simulate models**. Pre-built binaries are available on
+[r-universe](https://lapkb.r-universe.dev/Pmetrics) for Windows, MacOS, and
+Linux, so most users do not need Rust at all.
 
-Follow the instructions on the [Rust
+You only need a Rust toolchain if you build `Pmetrics` from source. In that case,
+follow the instructions on the [Rust
 website](https://www.rust-lang.org/tools/install) to install Rust on
 your system.
 
@@ -59,7 +64,7 @@ With this setup, you can install or update Pmetrics using the
 standard command `install.packages("Pmetrics")` without specifying
 the repository each time.
 
-Note: if you are a Windows user and experience an error while installing Pmetrics that mentions `Linker.exe`. That means the Rust toolchain is misconfigured to your system.
+Note: if you are a Windows user building from source and experience an error while installing Pmetrics that mentions `Linker.exe`. That means the Rust toolchain is misconfigured to your system.
 To fix it, open a terminal (CMD or PowerShell) and execute the following two lines:
 
 ```bash
diff --git a/README.md b/README.md
index 6e7d86964..c9c077705 100644
--- a/README.md
+++ b/README.md
@@ -28,12 +28,17 @@ only a suggested donation.
 You can download and install [R](https://r-project.org) from the
 [Comprehensive R Archive Network (CRAN)](https://cran.r-project.org/).
 
-### Rust (required)
+### Rust (optional, for source installations only)
 
-The simulation engine for `Pmetrics` is written in `Rust`, which is
-required to fit models.
+The computational engine for `Pmetrics` is written in `Rust` and is
+bundled with the package. Models are compiled just-in-time at run time,
+so **Rust is not required to fit or simulate models**. Pre-built
+binaries are available on
+[r-universe](https://lapkb.r-universe.dev/Pmetrics) for Windows, MacOS,
+and Linux, so most users do not need Rust at all.
 
-Follow the instructions on the [Rust
+You only need a Rust toolchain if you build `Pmetrics` from source. In
+that case, follow the instructions on the [Rust
 website](https://www.rust-lang.org/tools/install) to install Rust on
 your system.
 
@@ -61,10 +66,10 @@ With this setup, you can install or update Pmetrics using the standard
 command `install.packages("Pmetrics")` without specifying the repository
 each time.
 
-Note: if you are a Windows user and experience an error while installing
-Pmetrics that mentions `Linker.exe`. That means the Rust toolchain is
-misconfigured to your system. To fix it, open a terminal (CMD or
-PowerShell) and execute the following two lines:
+Note: if you are a Windows user building from source and experience an
+error while installing Pmetrics that mentions `Linker.exe`. That means
+the Rust toolchain is misconfigured to your system. To fix it, open a
+terminal (CMD or PowerShell) and execute the following two lines:
 
 ``` bash
 rustup toolchain install stable-x86_64-pc-windows-gnu

From f8fc53026dbd2b3139844a36dc1d10c4c2549294 Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Mon, 13 Jul 2026 16:02:53 +0200
Subject: [PATCH 04/16] Fix tests

---
 R/PM_model.R                                  |  10 +-
 R/PM_parse.R                                  |  10 +-
 R/PM_sim.R                                    |  21 ++--
 R/model_dsl.R                                 |  39 ++++++++
 tests/testthat/Rplots.pdf                     | Bin 4712 -> 4712 bytes
 tests/testthat/test-analytic-model-lib.R      |  14 ++-
 tests/testthat/test-analytical-indexing.R     |  26 ++---
 tests/testthat/test-book-examples.R           |   3 +-
 tests/testthat/test-data-models.R             |   7 +-
 .../test-methods-print-plot-summary.R         |   3 -
 tests/testthat/test-pm-fit-prior-parameters.R |   8 +-
 tests/testthat/test-pm-load-binary-fallback.R |  62 ++++++------
 .../testthat/test-pmcore-pharmsol-migration.R |  92 +++++++-----------
 tests/testthat/testthat-problems.rds          | Bin 0 -> 426785 bytes
 14 files changed, 149 insertions(+), 146 deletions(-)
 create mode 100644 tests/testthat/testthat-problems.rds

diff --git a/R/PM_model.R b/R/PM_model.R
index 76c28c7ae..e77eb70c4 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -689,12 +689,14 @@ PM_model <- R6::R6Class(
         msg <- c(msg, "There must be one error model for each output equation.")
       }
       # Validate the output equation (`outeq`) each error model is declared for.
+      # Error models created before `outeq` existed default to positional order.
       if (!is.null(self$arg_list$err) && length(self$arg_list$err) > 0) {
-        err_outeqs <- purrr::map_dbl(self$arg_list$err, \(e) {
-          if (inherits(e, "PM_err") && !is.null(e$outeq)) as.numeric(e$outeq) else NA_real_
+        err_outeqs <- purrr::imap_dbl(self$arg_list$err, \(e, i) {
+          oq <- if (inherits(e, "PM_err")) suppressWarnings(as.numeric(e$outeq)) else NA_real_
+          if (length(oq) != 1 || is.na(oq)) i else oq
         })
-        if (any(is.na(err_outeqs)) || any(err_outeqs %% 1 != 0) || any(err_outeqs < 1)) {
-          msg <- c(msg, "Each error model must declare a positive integer {.arg outeq} (the output equation it applies to).")
+        if (any(err_outeqs %% 1 != 0) || any(err_outeqs < 1)) {
+          msg <- c(msg, "Each error model {.arg outeq} must be a positive integer (the output equation it applies to).")
         } else {
           if (any(err_outeqs > n_out)) {
             msg <- c(msg, "Error model {.arg outeq} values must be between 1 and the number of outputs ({n_out}).")
diff --git a/R/PM_parse.R b/R/PM_parse.R
index 857197623..437a691e2 100755
--- a/R/PM_parse.R
+++ b/R/PM_parse.R
@@ -38,8 +38,14 @@ write_settings_json <- function(path, param_ranges, error_models, algorithm,
   n_out <- length(error_models)
   models <- vector("list", n_out + 1L)
   models[[1]] <- "None"
-  for (e in error_models) {
-    oq <- as.integer(e$outeq)
+  for (i in seq_along(error_models)) {
+    e <- error_models[[i]]
+    # Fall back to positional order if the error model does not carry a valid
+    # `outeq` (e.g. models created before `outeq` was introduced).
+    oq <- suppressWarnings(as.integer(e$outeq))
+    if (length(oq) != 1 || is.na(oq) || oq < 1) {
+      oq <- i
+    }
     coeff <- as.numeric(e$coeff)
     length(coeff) <- 4 # pad with NA if shorter; then replace NA with 0
     coeff[is.na(coeff)] <- 0
diff --git a/R/PM_sim.R b/R/PM_sim.R
index e1a5b6474..247a2e167 100755
--- a/R/PM_sim.R
+++ b/R/PM_sim.R
@@ -610,7 +610,11 @@ PM_sim <- R6::R6Class(
           final <- poppar$final$data # PM_final_data
           msg <- c(msg, "Prior obtained from {.arg PM_result}.")
           if (missing(model)) {
-            model <- poppar$model
+            # Reconstruct the model from its definition so it uses the current
+            # class methods. Models stored inside saved `PM_result` objects may
+            # carry outdated methods (R6 serializes method closures), so using
+            # them directly can invoke removed functions.
+            model <- PM_model$new(poppar$model, compile = FALSE)
             msg <- c(msg, "Model obtained from {.arg PM_result}.")
           } else {
             model <- PM_model$new(model, compile = FALSE) # compile later
@@ -738,9 +742,10 @@ PM_sim <- R6::R6Class(
           if (missing(model)) {
             model <- "model.txt"
           } # try the default
-          if (!inherits(model, "PM_model")) {
-            model <- PM_model$new(model, compile = FALSE)
-          } # compile later
+          # Always reconstruct through PM_model$new so the model uses the current
+          # class methods. Models supplied from saved objects may carry outdated
+          # methods (R6 serializes method closures).
+          model <- PM_model$new(model, compile = FALSE) # compile later
           
           if (missing(data)) {
             data <- "data.csv"
@@ -1595,15 +1600,13 @@ PM_sim <- R6::R6Class(
         rename(comp = state_index, nsim = spp_index, amt = state) |>
         mutate(nsim = nsim + 1)
         
-        if (identical(mod$model_list$type, "ODE")) {
-          sim_res <- sim_res |> filter(comp != 0)
-        } else {
-          sim_res <- sim_res |>
+        # The simulation engine reports 0-based output and compartment indices;
+        # normalize both to the 1-based convention used throughout Pmetrics.
+        sim_res <- sim_res |>
           mutate(
             outeq = normalize_engine_index(outeq),
             comp = normalize_engine_index(comp)
           )
-        }
         
         sim_res <- sim_res |>
         arrange(.id, comp, nsim, time, outeq) |>
diff --git a/R/model_dsl.R b/R/model_dsl.R
index ffc6fbe4f..8035e543a 100644
--- a/R/model_dsl.R
+++ b/R/model_dsl.R
@@ -497,6 +497,24 @@ dsl_analytical_structure <- function(tem) {
   )
 }
 
+# Derived-parameter aliases mapping Pmetrics library parameter names to the names
+# required by each DSL analytical structure. Each entry is
+# `<dsl_required_name> = <library_parameter_name>`.
+dsl_analytical_param_map <- function(structure) {
+  switch(structure,
+    "two_compartments" = c(kcp = "k12", kpc = "k21"),
+    "two_compartments_cl" = c(vc = "v1", vp = "v2"),
+    "two_compartments_with_absorption" = c(kcp = "k23", kpc = "k32"),
+    "two_compartments_cl_with_absorption" = c(vc = "v2", vp = "v3"),
+    "three_compartments" = c(k10 = "ke"),
+    "three_compartments_cl" = c(vc = "v1"),
+    "three_compartments_with_absorption" = c(
+      k10 = "ke", k12 = "k23", k13 = "k24", k21 = "k32", k31 = "k42"
+    ),
+    character(0)
+  )
+}
+
 # Assemble the full pharmsol DSL text for a PM_model object.
 model_to_dsl <- function(model) {
   arg_list <- model$arg_list
@@ -629,18 +647,39 @@ dsl_analytical <- function(model, header, derived, parameters) {
   out <- dsl_out_block(arg_list$out)
   derived <- c(derived, out$derived)
 
+  # The DSL analytical structures require specific derived-parameter names (e.g.
+  # `kcp`, `kpc`, `vc`). The Pmetrics model-library templates use their own
+  # parameter names, so emit derived aliases mapping the library names to the
+  # names the structure expects.
+  param_aliases <- dsl_analytical_param_map(structure)
+  if (length(param_aliases) > 0) {
+    alias_lines <- paste0(names(param_aliases), " = ", unname(param_aliases))
+    derived <- c(alias_lines, derived)
+  }
+
   # Determine the number of compartments the structure requires.
   n_states <- dsl_analytical_state_count(structure)
   states <- paste0("x", seq_len(n_states))
   n_out <- get_max_assignment_index(arg_list$out, "y")
   outputs <- paste0("outeq_", seq_len(n_out))
 
+  # Declare the dose route. Absorption ("bolus") templates receive a bolus into
+  # the depot (x1); IV templates receive an infusion into the central
+  # compartment (x1).
+  route_line <- if (stringr::str_detect(structure, "absorption")) {
+    "bolus(input_1) -> x1"
+  } else {
+    "infusion(input_1) -> x1"
+  }
+
   lines <- c(
     header,
     sprintf("structure = %s", structure),
     sprintf("states = %s", paste(states, collapse = ", ")),
     sprintf("outputs = %s", paste(outputs, collapse = ", ")),
     "",
+    route_line,
+    "",
     derived,
     if (length(derived) > 0) "" else NULL,
     out$out
diff --git a/tests/testthat/Rplots.pdf b/tests/testthat/Rplots.pdf
index e70b3fb29864662fd9886e233a76e2832b6f441e..2c04a78c0a3bb93977add2f9848e4b5e02ac0f93 100644
GIT binary patch
delta 55
zcmaE%@<L^TnX0*=v7xD{rHP>?m%eX)ic4Zis)B}#m63swnE_mGVzdsksh-isu6u$2
DvO^C>

delta 55
zcmaE%@<L^TnX0LwiGi7ssfn>Bm%eX)ic4Zis)B}#m63swnE_mGVzdsknV!MMu6u$2
Du+R@V

diff --git a/tests/testthat/test-analytic-model-lib.R b/tests/testthat/test-analytic-model-lib.R
index f50353c34..e71f7b2d3 100644
--- a/tests/testthat/test-analytic-model-lib.R
+++ b/tests/testthat/test-analytic-model-lib.R
@@ -2,11 +2,6 @@ library(Pmetrics)
 
 testthat::skip_on_cran()
 
-testthat::skip_if_not(
-  is_cargo_installed(),
-  message = "Cargo is required to compile and run simulation comparisons."
-)
-
 make_sim_bolus_template_data <- function() {
   PM_data$new()$addEvent(
     id = 1,
@@ -66,6 +61,15 @@ iv_data <- make_sim_iv_template_data()
 
 for (model_name in model_names) {
   test_that(paste("Simulated Analytical and ODE observations agree for", model_name), {
+    # The `three_comp_bolus_cl` library model parameterizes the peripheral
+    # clearances/volumes with names (q3, q4, v2, v3, v4) that collide with the
+    # names required by the DSL `three_compartments_cl_with_absorption` structure
+    # (q2, q3, vc, v2, v3). The analytical structure for this model is therefore
+    # not yet expressible in the DSL; the ODE form is used instead.
+    if (identical(model_name, "three_comp_bolus_cl")) {
+      testthat::skip("three_comp_bolus_cl analytical structure not yet supported by the DSL backend")
+    }
+
     dat <- if (stringr::str_detect(model_name, "bolus")) {
       bolus_data
     } else if (stringr::str_detect(model_name, "iv")) {
diff --git a/tests/testthat/test-analytical-indexing.R b/tests/testthat/test-analytical-indexing.R
index c30e3ed73..4471ab1e3 100644
--- a/tests/testthat/test-analytical-indexing.R
+++ b/tests/testthat/test-analytical-indexing.R
@@ -1,10 +1,5 @@
 testthat::skip_on_cran()
 
-testthat::skip_if_not(
-  is_cargo_installed(),
-  message = "Cargo is required to compile analytical indexing tests."
-)
-
 one_comp_iv <- NULL
 
 build_one_comp_iv_analytical_model <- function(compile = FALSE) {
@@ -37,22 +32,17 @@ make_one_comp_iv_fit_data <- function() {
   )
 }
 
-test_that("Analytical generation preserves 1-based indices and padded sizes", {
+test_that("Analytical generation preserves 1-based indices", {
   mod <- build_one_comp_iv_analytical_model(compile = FALSE)
-  rust_file <- tempfile(fileext = ".rs")
-  on.exit(unlink(rust_file), add = TRUE)
-
-  mod$.__enclos_env__$private$write_model_to_rust(rust_file)
-  rust <- paste(readLines(rust_file), collapse = "\n")
+  mod$compile(quiet = TRUE)
+  dsl <- mod$dsl
 
   testthat::expect_equal(mod$model_list$n_out, 1)
-  testthat::expect_equal(mod$model_list$n_out_slots, 2)
-  testthat::expect_match(rust, "equation::Analytical::new")
-  testthat::expect_match(rust, "\\.with_nstates\\(2\\)")
-  testthat::expect_match(rust, "\\.with_ndrugs\\(2\\)")
-  testthat::expect_match(rust, "\\.with_nout\\(2\\)")
-  testthat::expect_match(rust, "y\\[1\\]")
-  testthat::expect_false(grepl("y[0]", rust, fixed = TRUE))
+  testthat::expect_match(dsl, "kind = analytical")
+  testthat::expect_match(dsl, "structure = one_compartment")
+  testthat::expect_match(dsl, "out\\(outeq_1\\)")
+  # Outputs are 1-based to match the Pmetrics data OUTEQ column.
+  testthat::expect_false(grepl("outeq_0", dsl, fixed = TRUE))
 })
 
 test_that("Analytical fit runs one NPAG cycle with y[1] and one error model", {
diff --git a/tests/testthat/test-book-examples.R b/tests/testthat/test-book-examples.R
index 368a443ab..a84e554d9 100644
--- a/tests/testthat/test-book-examples.R
+++ b/tests/testthat/test-book-examples.R
@@ -22,11 +22,10 @@ testthat::test_that("Book model snippets adapted: PM_model construction and mapp
   testthat::expect_s3_class(model_from_obj, "PM_model")
   testthat::expect_s3_class(model_rebuilt, "PM_model")
   testthat::expect_true(length(model_from_obj$model_list$parameters) > 0)
-  testthat::expect_true("eqn" %in% names(model_from_obj$model_list))
+  testthat::expect_true(is.function(model_from_obj$arg_list$eqn))
 })
 
 testthat::test_that("Book workflow snippets adapted: fit then PM_load roundtrip", {
-  testthat::skip_if_not(is_cargo_installed(), "Rust toolchain is required for model compilation.")
   local_exa_tmp_cleanup()
 
   run_root <- withr::local_tempdir(pattern = "book-workflow-")
diff --git a/tests/testthat/test-data-models.R b/tests/testthat/test-data-models.R
index 7d0826e2e..11a3fbcc9 100755
--- a/tests/testthat/test-data-models.R
+++ b/tests/testthat/test-data-models.R
@@ -39,16 +39,13 @@ test_that("Model can be reconstructed from an existing PM_model", {
 
 test_that("Current workflow: PM_model + PM_data + PM_model$fit", {
   skip_on_cran()
-  skip_if_not(
-    is_cargo_installed(),
-    message = "Cargo is required to compile and run PM_model$fit tests."
-  )
   local_exa_tmp_cleanup()
 
   mod1 <- build_example_ode_model(compile = TRUE)
   ex_data <- PM_data$new(data = "ex.csv", quiet = TRUE)
 
-  expect_true(file.exists(mod1$binary_path))
+  # Compiling now renders the model to the pharmsol DSL (no binary is produced).
+  expect_true(is.character(mod1$dsl))
 
   run_path <- withr::local_tempdir()
   ex_res <- mod1$fit(
diff --git a/tests/testthat/test-methods-print-plot-summary.R b/tests/testthat/test-methods-print-plot-summary.R
index 5c086756e..91348c978 100644
--- a/tests/testthat/test-methods-print-plot-summary.R
+++ b/tests/testthat/test-methods-print-plot-summary.R
@@ -142,9 +142,6 @@ test_that("PM_pta methods: summary and plot", {
 })
 
 test_that("PM_opt methods: print and plot", {
-  if (!is_cargo_installed()) {
-    skip("Cargo is not installed in this environment")
-  }
 
   opt_obj <- tryCatch(
     PM_opt$new(
diff --git a/tests/testthat/test-pm-fit-prior-parameters.R b/tests/testthat/test-pm-fit-prior-parameters.R
index dd6c7e7a5..5eee4c3e6 100644
--- a/tests/testthat/test-pm-fit-prior-parameters.R
+++ b/tests/testthat/test-pm-fit-prior-parameters.R
@@ -15,8 +15,6 @@ make_prior_df <- function(param_names, n = 8, seed = 42) {
 
 run_fit_with_mocked_engine <- function(prior_input) {
   model <- PM_model$new(x = NPex$model, compile = FALSE)
-  model$binary_path <- tempfile(fileext = ".pmx")
-  file.create(model$binary_path)
 
   run_root <- withr::local_tempdir(pattern = "prior-params-")
   prior_file <- file.path(run_root, "input-prior.csv")
@@ -27,7 +25,7 @@ run_fit_with_mocked_engine <- function(prior_input) {
   captured_wd <- NULL
 
   fit_result <- testthat::with_mocked_bindings(
-    fit = function(model_path, data, params, output_path, kind) {
+    fit = function(model_source, data, params, output_path) {
       captured_prior <<- params$prior
       captured_wd <<- getwd()
       dir.create(output_path, recursive = TRUE)
@@ -128,14 +126,12 @@ test_that("PM_model$fit supports numeric prior run and normalizes theta.csv colu
   utils::write.csv(theta_df, file.path(theta_dir, "theta.csv"), row.names = FALSE)
 
   model <- PM_model$new(x = NPex$model, compile = FALSE)
-  model$binary_path <- tempfile(fileext = ".pmx")
-  file.create(model$binary_path)
 
   captured_prior <- NULL
   captured_wd <- NULL
 
   fit_result <- testthat::with_mocked_bindings(
-    fit = function(model_path, data, params, output_path, kind) {
+    fit = function(model_source, data, params, output_path) {
       captured_prior <<- params$prior
       captured_wd <<- getwd()
       dir.create(output_path, recursive = TRUE)
diff --git a/tests/testthat/test-pm-load-binary-fallback.R b/tests/testthat/test-pm-load-binary-fallback.R
index 91a4b624a..7f40a070b 100644
--- a/tests/testthat/test-pm-load-binary-fallback.R
+++ b/tests/testthat/test-pm-load-binary-fallback.R
@@ -1,6 +1,11 @@
 library(Pmetrics)
 
-test_that("PM_load tolerates missing inputs binary and fit recompiles", {
+# The compiled-binary workflow (.pmx files, `binary_path`) has been replaced by
+# just-in-time compilation of the pharmsol DSL. These tests verify the
+# equivalent behaviour: a loaded run has no binary, but the model carries (or
+# regenerates) its DSL source and can be re-fit and re-simulated.
+
+test_that("PM_load works without a compiled binary and the model can be re-fit", {
   local_exa_tmp_cleanup()
   run_root <- tempfile("pmetrics-load-fallback-")
   dir.create(run_root, recursive = TRUE)
@@ -19,20 +24,20 @@ test_that("PM_load tolerates missing inputs binary and fit recompiles", {
 
   expect_true(inherits(run_initial, "PM_result"))
 
+  # No compiled binaries are produced; the DSL source is written instead.
   inputs_dir <- file.path(run_root, "1", "inputs")
-  pmx_files <- list.files(inputs_dir, pattern = "\\.pmx$", full.names = TRUE)
-  expect_gt(length(pmx_files), 0)
-
-  backup_paths <- paste0(pmx_files, ".bak")
-  file.rename(pmx_files, backup_paths)
-
-  loaded_missing <- PM_load(path = run_root, run = 1)
-  expect_true(inherits(loaded_missing, "PM_result"))
-  expect_true(is.null(loaded_missing$model$binary_path))
-
-  run_recompiled <- suppressMessages(
-    loaded_missing$model$fit(
-      data = loaded_missing$data,
+  expect_equal(length(list.files(inputs_dir, pattern = "\\.pmx$")), 0)
+  expect_true(file.exists(file.path(inputs_dir, "model.txt")))
+
+  loaded <- PM_load(path = run_root, run = 1)
+  expect_true(inherits(loaded, "PM_result"))
+  expect_true(is.null(loaded$model$binary_path))
+  # The loaded model carries its DSL source so it can be used without recompiling.
+  expect_true(is.character(loaded$model$dsl))
+
+  run_refit <- suppressMessages(
+    loaded$model$fit(
+      data = loaded$data,
       path = run_root,
       run = 2,
       overwrite = TRUE,
@@ -41,11 +46,10 @@ test_that("PM_load tolerates missing inputs binary and fit recompiles", {
     )
   )
 
-  expect_true(is.character(run_recompiled$model$binary_path))
-  expect_true(file.exists(run_recompiled$model$binary_path))
+  expect_true(inherits(run_refit, "PM_result"))
 })
 
-test_that("PM_sim$new recompiles when PM_load has no inputs binary", {
+test_that("PM_sim$new works on a loaded run without a compiled binary", {
   local_exa_tmp_cleanup()
   run_root <- tempfile("pmetrics-sim-fallback-")
   dir.create(run_root, recursive = TRUE)
@@ -64,29 +68,19 @@ test_that("PM_sim$new recompiles when PM_load has no inputs binary", {
 
   expect_true(inherits(run_initial, "PM_result"))
 
-  inputs_dir <- file.path(run_root, "1", "inputs")
-  pmx_files <- list.files(inputs_dir, pattern = "\\.pmx$", full.names = TRUE)
-  expect_gt(length(pmx_files), 0)
-
-  file.rename(pmx_files, paste0(pmx_files, ".bak"))
-
-  loaded_missing <- PM_load(path = run_root, run = 1)
-  expect_true(is.null(loaded_missing$model$binary_path))
+  loaded <- PM_load(path = run_root, run = 1)
+  expect_true(is.null(loaded$model$binary_path))
 
-  sim_from_missing <- suppressMessages(
+  sim_from_loaded <- suppressMessages(
     PM_sim$new(
-      poppar = loaded_missing$final,
-      model = loaded_missing$model,
-      data = loaded_missing$data,
+      poppar = loaded$final,
+      model = loaded$model,
+      data = loaded$data,
       include = 1,
       nsim = 1,
       predInt = 1
     )
   )
 
-  expect_true(inherits(sim_from_missing, "PM_sim"))
-  # PM_model is R6 (reference semantics), so compile() inside PM_sim$new updates
-  # loaded_missing$model$binary_path in place
-  expect_true(is.character(loaded_missing$model$binary_path))
-  expect_true(file.exists(loaded_missing$model$binary_path))
+  expect_true(inherits(sim_from_loaded, "PM_sim"))
 })
diff --git a/tests/testthat/test-pmcore-pharmsol-migration.R b/tests/testthat/test-pmcore-pharmsol-migration.R
index b91c064f0..2b7ca2701 100644
--- a/tests/testthat/test-pmcore-pharmsol-migration.R
+++ b/tests/testthat/test-pmcore-pharmsol-migration.R
@@ -1,77 +1,53 @@
 testthat::skip_on_cran()
 
-testthat::skip_if_not(
-  is_cargo_installed(),
-  message = "Cargo is required to compile migration test models."
-)
-
 CL <- NULL
 V <- NULL
 
 build_passthrough_ode_model <- function(solver = NULL) {
-  PM_model$new(list(
-    pri = list(
-      CL = ab(0.5, 1.5),
-      V = ab(5, 15)
+  PM_model$new(
+    list(
+      pri = list(
+        CL = ab(0.5, 1.5),
+        V = ab(5, 15)
+      ),
+      eqn = function() {
+        dx[1] <- -(CL / V) * x[1] + rateiv[1]
+      },
+      out = function() {
+        y[1] <- x[1] / V
+      },
+      err = list(additive(1, c(0.1, 0, 0, 0))),
+      solver = solver
     ),
-    eqn = function() {
-      dx[1] <- -(CL / V) * x[1] + rateiv[1]
-    },
-    out = function() {
-      y[1] <- x[1] / V
-    },
-    err = list(additive(1, c(0.1, 0, 0, 0))),
-    solver = solver
-  ))
+    compile = FALSE
+  )
 }
 
-test_that("ODE generation uses ode! and preserves 1-based indices", {
+test_that("ODE generation produces a DSL model with 1-based indices and an infusion route", {
   mod <- build_passthrough_ode_model("TSIT45")
-  rust_file <- tempfile(fileext = ".rs")
-  on.exit(unlink(rust_file), add = TRUE)
-
-  mod$.__enclos_env__$private$write_model_to_rust(rust_file)
-  rust <- paste(readLines(rust_file), collapse = "\n")
-
-  testthat::expect_match(rust, "fn build_eqn\\(\\) -> impl Equation")
-  testthat::expect_match(rust, "ode! \\{")
-  testthat::expect_match(rust, "dx\\[1\\]")
-  testthat::expect_match(rust, "rateiv\\[1\\]")
-  testthat::expect_match(rust, "y\\[1\\]")
-  testthat::expect_match(
-    rust,
-    "\\.with_solver\\(OdeSolver::ExplicitRk\\(ExplicitRkTableau::Tsit45\\)\\)"
-  )
-  testthat::expect_false(grepl("dx[0]", rust, fixed = TRUE))
-})
+  mod$compile(quiet = TRUE)
+  dsl <- mod$dsl
 
-test_that("Analytical migration compiles and reports analytical parameters", {
-  mod <- build_library_model("one_comp_iv", mode = "analytical")
-  rust_file <- tempfile(fileext = ".rs")
-  on.exit(unlink(rust_file), add = TRUE)
-
-  mod$.__enclos_env__$private$write_model_to_rust(rust_file)
-  rust <- paste(readLines(rust_file), collapse = "\n")
-
-  testthat::expect_match(rust, "equation::Analytical::new")
-  testthat::expect_match(rust, "one_compartment")
-  testthat::expect_match(rust, "\\.with_nstates\\(")
-  testthat::expect_match(rust, "\\.with_ndrugs\\(")
-  testthat::expect_match(rust, "\\.with_nout\\(")
+  testthat::expect_match(dsl, "kind = ode")
+  testthat::expect_match(dsl, "infusion\\(input_1\\) -> x1")
+  testthat::expect_match(dsl, "dx\\(x1\\)")
+  testthat::expect_match(dsl, "out\\(outeq_1\\)")
+  # Outputs are 1-based to match the Pmetrics data OUTEQ column.
+  testthat::expect_false(grepl("outeq_0", dsl, fixed = TRUE))
 
-  testthat::expect_no_error(mod$compile(quiet = TRUE))
-  testthat::expect_true(file.exists(mod$binary_path))
+  # The DSL model compiles just-in-time and reports its parameters.
   testthat::expect_equal(
-    model_parameters(mod$binary_path, "analytical"),
+    model_parameters(dsl),
     tolower(names(mod$model_list$pri))
   )
 })
 
-test_that("template compilation path stays outside package workspace during checks", {
-  withr::local_envvar(c(`_R_CHECK_PACKAGE_NAME_` = "Pmetrics", env = NA_character_))
+test_that("Analytical migration produces a DSL structure model", {
+  mod <- build_library_model("one_comp_iv", mode = "analytical")
+  mod$compile(quiet = TRUE)
+  dsl <- mod$dsl
 
-  testthat::expect_equal(
-    Pmetrics:::resolve_template_path(),
-    file.path(temporary_path(), "template")
-  )
+  testthat::expect_match(dsl, "kind = analytical")
+  testthat::expect_match(dsl, "structure = one_compartment")
+  testthat::expect_no_error(model_parameters(dsl))
 })
diff --git a/tests/testthat/testthat-problems.rds b/tests/testthat/testthat-problems.rds
new file mode 100644
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D^C(#9

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HcmV?d00001


From 5b340a93700c4b3196b7e4c32b017330db302665 Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Mon, 13 Jul 2026 19:27:31 +0200
Subject: [PATCH 05/16] Use published version of PMcore

---
 Cargo.lock          | 17 +++++++++--------
 src/rust/Cargo.toml |  4 +---
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/Cargo.lock b/Cargo.lock
index 1ac503e3b..8274a54c2 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1538,9 +1538,9 @@ dependencies = [
 
 [[package]]
 name = "pharmsol"
-version = "0.28.0"
+version = "0.28.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9a4dd8aaeab5b9c2c8be10c4ee2a8adb76e8539d0ea140884c7c4cd94f685bc9"
+checksum = "267eb86b88fef853a8cd79afbdceb652b87e40e8e1ba2e7ce6d21d5acf225ae5"
 dependencies = [
  "ahash",
  "argmin",
@@ -1568,9 +1568,9 @@ dependencies = [
 
 [[package]]
 name = "pharmsol-dsl"
-version = "0.28.0"
+version = "0.28.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "83c8a6c436e68866a8fac234adb9e60d80e52409e96be4a22d2a07db2375bdfb"
+checksum = "c20a01d4a94e5385aed5f4b2b57450ac1cbaf7569e9aefe2cd7e4fa8b776fdc0"
 dependencies = [
  "serde",
  "serde_json",
@@ -1578,9 +1578,9 @@ dependencies = [
 
 [[package]]
 name = "pharmsol-macros"
-version = "0.28.0"
+version = "0.28.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3e206b13add7f00753a7b5ed8423aabd767546b432753bf4d57c8ce0325c45c5"
+checksum = "d6fe87076df96575147c61f438d610be5c06e82b8c530a3057634b50506a3bf7"
 dependencies = [
  "pharmsol-dsl",
  "proc-macro2",
@@ -1608,8 +1608,9 @@ dependencies = [
 
 [[package]]
 name = "pmcore"
-version = "0.25.2"
-source = "git+https://github.com/LAPKB/PMcore.git?rev=c9c8311#c9c8311dd2019ceb66f490e7bd76e715ed2c52e3"
+version = "0.26.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "56bbd4bee49bec5be85c8d97443ab10b55ed4e502b3799bf0dd073dafda24702"
 dependencies = [
  "anyhow",
  "argmin",
diff --git a/src/rust/Cargo.toml b/src/rust/Cargo.toml
index 40a5d8c62..e697fe578 100755
--- a/src/rust/Cargo.toml
+++ b/src/rust/Cargo.toml
@@ -9,9 +9,7 @@ name = 'pm_rs'
 
 [dependencies]
 extendr-api = "=0.9.0"
-pmcore = { git = "https://github.com/LAPKB/PMcore.git", rev = "c9c8311", features = [
-    "dsl-jit",
-] }
+pmcore = { version = "0.26.0", features = ["dsl-jit"] }
 
 rayon = "1.12.0"
 anyhow = "1.0.103"

From ccd819e9dc0d04d3da3db8b54ff17c279be2cce4 Mon Sep 17 00:00:00 2001
From: Michael Neely <mneely@usc.edu>
Date: Mon, 13 Jul 2026 14:46:11 -0700
Subject: [PATCH 06/16] wip: bump Description version to 3.2

---
 DESCRIPTION                |  2 +-
 man/PM_model.Rd            |  4 +++
 man/PMbuild.Rd             |  2 +-
 man/write_settings_json.Rd | 55 ++++++++++++++++++++++++++++++++++++++
 4 files changed, 61 insertions(+), 2 deletions(-)
 create mode 100644 man/write_settings_json.Rd

diff --git a/DESCRIPTION b/DESCRIPTION
index d6f64a3d6..bb7d8856f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: Pmetrics
 Title: Pmetrics for Population Modeling and Simulation
-Version: 3.1.5
+Version: 3.2
 Authors@R: c(
     person("Michael", "Neely", , "mneely@usc.edu", role = c("aut", "cre")),
     person("Julián", "Otálvaro", , "juliandavid347@gmail.com", role = "aut"),
diff --git a/man/PM_model.Rd b/man/PM_model.Rd
index 1292bc5b7..5f61ac5cb 100755
--- a/man/PM_model.Rd
+++ b/man/PM_model.Rd
@@ -86,6 +86,10 @@ models are no longer compiled to a binary. See the \code{dsl} field.}
 
     \item{\code{dsl}}{The model definition rendered as pharmsol DSL source, used by the
 Rust backend to JIT-compile the model at run time.}
+
+    \item{\code{input_remap}}{A list describing any data input remapping required by
+the DSL model (used when an input drives both a bolus and an infusion
+route). Each element is a list with \code{kind}, \code{from}, and \code{to}.}
   }
   \if{html}{\out{</div>}}
 }
diff --git a/man/PMbuild.Rd b/man/PMbuild.Rd
index ed68f3b80..a7a92123f 100755
--- a/man/PMbuild.Rd
+++ b/man/PMbuild.Rd
@@ -12,7 +12,7 @@ PMbuild(...)
 \description{
 \ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}}
 
-Use PM_build instead.
+Building is no longer required; models are compiled just-in-time at run time.
 }
 \author{
 Michael Neely
diff --git a/man/write_settings_json.Rd b/man/write_settings_json.Rd
new file mode 100644
index 000000000..4f768469d
--- /dev/null
+++ b/man/write_settings_json.Rd
@@ -0,0 +1,55 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/PM_parse.R
+\name{write_settings_json}
+\alias{write_settings_json}
+\title{Write run configuration to settings.json}
+\usage{
+write_settings_json(
+  path,
+  param_ranges,
+  error_models,
+  algorithm,
+  cycles,
+  idelta,
+  tad,
+  prior,
+  points,
+  seed
+)
+}
+\arguments{
+\item{path}{Full path (including filename) to write the \code{settings.json} file.}
+
+\item{param_ranges}{A named list mapping parameter names to \code{c(min, max)}
+ranges, in parameter order.}
+
+\item{error_models}{A list of \code{PM_err} objects, each carrying \code{type},
+\code{initial}, \code{coeff}, \code{fixed}, and \code{outeq}.}
+
+\item{algorithm}{The fitting algorithm (e.g. "NPAG").}
+
+\item{cycles}{Maximum number of cycles.}
+
+\item{idelta}{Prediction interval used when writing outputs.}
+
+\item{tad}{Additional time after the last event used when writing outputs.}
+
+\item{prior}{The prior specification ("sobol" or "prior.csv").}
+
+\item{points}{Number of Sobol grid points.}
+
+\item{seed}{Random seed used to generate the Sobol grid.}
+}
+\value{
+Invisibly returns the path written.
+}
+\description{
+\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#experimental}{\figure{lifecycle-experimental.svg}{options: alt='[Experimental]'}}}{\strong{[Experimental]}}
+
+Writes a \code{settings.json} file describing a fit's configuration. The Rust
+backend writes the estimation artifacts (theta.csv, posterior.csv, pred.csv,
+covs.csv, cycles.csv, result.json) but not the configuration file that the
+Pmetrics output parsers (\link{PM_op}, \link{PM_final}, \link{PM_cycle}, etc.) expect. This
+helper reconstructs that file from the model and fit settings.
+}
+\keyword{internal}

From 22796f97d428df8c87512692d3ed8529be58e6c5 Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Tue, 14 Jul 2026 12:07:34 +0200
Subject: [PATCH 07/16] feat: Use a custom memory allocator

Typically improves performance in the range of 10-30% in my testing
---
 Cargo.lock          | 19 +++++++++++++++++++
 src/rust/Cargo.toml |  1 +
 src/rust/src/lib.rs |  7 +++++++
 3 files changed, 27 insertions(+)

diff --git a/Cargo.lock b/Cargo.lock
index 8274a54c2..6895d87ba 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1137,6 +1137,15 @@ version = "0.2.16"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b6d2cec3eae94f9f509c767b45932f1ada8350c4bdb85af2fcab4a3c14807981"
 
+[[package]]
+name = "libmimalloc-sys"
+version = "0.1.49"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6a45a52f43e1c16f667ccfe4dd8c85b7f7c204fd5e3bf46c5b0db9a5c3c0b8e9"
+dependencies = [
+ "cc",
+]
+
 [[package]]
 name = "lock_api"
 version = "0.4.14"
@@ -1199,6 +1208,15 @@ version = "2.8.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f8ca58f447f06ed17d5fc4043ce1b10dd205e060fb3ce5b979b8ed8e59ff3f79"
 
+[[package]]
+name = "mimalloc"
+version = "0.1.52"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "2d4139bb28d14ad1facf21d5eb8825051b326e172d216b39f6d31df53cc97862"
+dependencies = [
+ "libmimalloc-sys",
+]
+
 [[package]]
 name = "nalgebra"
 version = "0.33.3"
@@ -1600,6 +1618,7 @@ version = "0.1.0"
 dependencies = [
  "anyhow",
  "extendr-api",
+ "mimalloc",
  "pmcore",
  "rayon",
  "tracing",
diff --git a/src/rust/Cargo.toml b/src/rust/Cargo.toml
index e697fe578..b1410e981 100755
--- a/src/rust/Cargo.toml
+++ b/src/rust/Cargo.toml
@@ -15,3 +15,4 @@ rayon = "1.12.0"
 anyhow = "1.0.103"
 tracing = "0.1.44"
 tracing-subscriber = "0.3.23"
+mimalloc = "0.1.43"
diff --git a/src/rust/src/lib.rs b/src/rust/src/lib.rs
index 7074899cb..b61386412 100644
--- a/src/rust/src/lib.rs
+++ b/src/rust/src/lib.rs
@@ -3,6 +3,13 @@ mod logs;
 mod settings;
 mod simulation;
 
+use mimalloc::MiMalloc;
+
+/// Use mimalloc as the global allocator for improved allocation performance
+/// across Windows, macOS, and Linux.
+#[global_allocator]
+static GLOBAL: MiMalloc = MiMalloc;
+
 use anyhow::Result;
 use extendr_api::prelude::*;
 use pmcore::prelude::data::{read_pmetrics, Data};

From becfb9f1ce2be71cb496178688a25f502cdfd9a3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Juli=C3=A1n=20D=2E=20Ot=C3=A1lvaro?=
 <juliandavid347@gmail.com>
Date: Mon, 20 Jul 2026 22:06:14 +0100
Subject: [PATCH 08/16] Fix DSL model execution

---
 R/PM_model.R                                  | 40 ++++----
 R/extendr-wrappers.R                          |  9 +-
 src/rust/src/executor.rs                      | 37 +++++++-
 src/rust/src/lib.rs                           | 25 ++++-
 tests/testthat/test-dsl-solver-bridge.R       | 93 +++++++++++++++++++
 tests/testthat/test-pm-fit-prior-parameters.R |  4 +-
 6 files changed, 174 insertions(+), 34 deletions(-)
 create mode 100644 tests/testthat/test-dsl-solver-bridge.R

diff --git a/R/PM_model.R b/R/PM_model.R
index e77eb70c4..97c056d3a 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -511,8 +511,6 @@ PM_model <- R6::R6Class(
         if (type != "ODE") {
           msg <- c(msg, "{.arg solver} is only supported for ODE models.")
         } else {
-          # Validate the solver name. The DSL backend currently uses its default
-          # solver, so the value is advisory.
           validate_ode_solver(self$arg_list$solver)
         }
       }
@@ -1382,27 +1380,22 @@ PM_model <- R6::R6Class(
               ranges = ranges, # not important but needed for POSTPROB
               algorithm = algorithm,
               error_models = lapply(self$model_list$err, function(x) x$flatten()),
-              idelta = idelta,
-              tad = tad,
-              max_cycles = cycles, # will be hardcoded in Rust to 0 for POSTPROB
+              idelta = as.numeric(idelta),
+              tad = as.numeric(tad),
+              max_cycles = as.numeric(cycles), # will be hardcoded in Rust to 0 for POSTPROB
               prior = prior, # needs warning if missing and algorithm = POSTPROB
-              points = points, # only relevant for sobol prior
-              seed = seed
+              points = as.numeric(points), # only relevant for sobol prior
+              seed = as.numeric(seed)
             ),
-            output_path = out_path
+            output_path = out_path,
+            solver = self$model_list$solver
           )
         }
-        rlang::try_fetch(
-          if (!is.null(prior_dir) && identical(prior, "prior.csv")) {
-            withr::with_dir(prior_dir, fit_call())
-          } else {
-            fit_call()
-          },
-          error = function(e) {
-            cli::cli_warn("Unable to create {.cls PM_result} object", parent = e)
-            return(NULL)
-          }
-        )
+        if (!is.null(prior_dir) && identical(prior, "prior.csv")) {
+          withr::with_dir(prior_dir, fit_call())
+        } else {
+          fit_call()
+        }
 
         # The Rust backend writes the estimation artifacts (theta.csv,
         # posterior.csv, pred.csv, covs.csv, cycles.csv, result.json). The
@@ -1556,7 +1549,14 @@ PM_model <- R6::R6Class(
       }
       # Apply any input remapping required by the DSL model.
       remap_input_csv(temp_csv, self$input_remap)
-      sim <- simulate_all(temp_csv, self$dsl, theta)
+      sim <- simulate_all(
+        temp_csv,
+        self$dsl,
+        theta,
+        solver = self$model_list$solver
+      )
+      sim$outeq <- sim$outeq + 1L
+      sim$state_index <- sim$state_index + 1L
 
       return(sim)
     },
diff --git a/R/extendr-wrappers.R b/R/extendr-wrappers.R
index 3a95e6344..fce730010 100644
--- a/R/extendr-wrappers.R
+++ b/R/extendr-wrappers.R
@@ -14,29 +14,32 @@ NULL
 #' @param data_path Path to the data file.
 #' @param model_source Model definition written in the pharmsol DSL.
 #' @param spp One support point as a numeric vector.
+#' @param solver Optional ODE solver name.
 #' @return Simulation results.
 #' @keywords internal
 #' @export
-simulate_one <- function(data_path, model_source, spp) .Call(wrap__simulate_one, data_path, model_source, spp)
+simulate_one <- function(data_path, model_source, spp, solver = NULL) .Call(wrap__simulate_one, data_path, model_source, spp, solver)
 
 #' Simulates all subjects in the data set using the given model.
 #' @param data_path Path to the data file.
 #' @param model_source Model definition written in the pharmsol DSL.
 #' @param theta Data frame of support points.
+#' @param solver Optional ODE solver name.
 #' @return Simulation results.
 #' @keywords internal
 #' @export
-simulate_all <- function(data_path, model_source, theta) .Call(wrap__simulate_all, data_path, model_source, theta)
+simulate_all <- function(data_path, model_source, theta, solver = NULL) .Call(wrap__simulate_all, data_path, model_source, theta, solver)
 
 #' Fits the given model to the data using the provided settings.
 #' @param model_source Model definition written in the pharmsol DSL.
 #' @param data Path to the data file.
 #' @param params List of fitting parameters.
 #' @param output_path Path to save the fitting results.
+#' @param solver Optional ODE solver name.
 #' @return Result of the fitting process.
 #' @keywords internal
 #' @export
-fit <- function(model_source, data, params, output_path) .Call(wrap__fit, model_source, data, params, output_path)
+fit <- function(model_source, data, params, output_path, solver = NULL) .Call(wrap__fit, model_source, data, params, output_path, solver)
 
 #' Retrieves the model parameters from the given model.
 #' @param model_source Model definition written in the pharmsol DSL.
diff --git a/src/rust/src/executor.rs b/src/rust/src/executor.rs
index bbc753aa5..2739c3042 100644
--- a/src/rust/src/executor.rs
+++ b/src/rust/src/executor.rs
@@ -14,9 +14,35 @@ use std::path::PathBuf;
 /// This replaces the old workflow of compiling a Rust source file into a shared
 /// library with `cargo` and loading it at runtime. The model text is compiled
 /// in-process, so no Rust toolchain is required on the user's machine.
-pub(crate) fn compile_dsl(source: &str) -> Result<CompiledRuntimeModel> {
-    compile_module_source_to_runtime(source, None, RuntimeCompilationTarget::Jit, |_, _| {})
-        .map_err(|e| anyhow::anyhow!("Failed to compile model: {e}"))
+pub(crate) fn compile_dsl(source: &str, solver: Option<&str>) -> Result<CompiledRuntimeModel> {
+    let model =
+        compile_module_source_to_runtime(source, None, RuntimeCompilationTarget::Jit, |_, _| {})
+            .map_err(|e| anyhow::anyhow!("Failed to compile model: {e}"))?;
+
+    let solver = match solver.map(|value| value.trim().to_ascii_uppercase()) {
+        None => None,
+        Some(value) if value.is_empty() => None,
+        Some(value) => Some(match value.as_str() {
+            "BDF" => OdeSolver::Bdf,
+            "TRBDF2" => OdeSolver::Sdirk(SdirkTableau::TrBdf2),
+            "ESDIRK34" => OdeSolver::Sdirk(SdirkTableau::Esdirk34),
+            "TSIT45" => OdeSolver::ExplicitRk(ExplicitRkTableau::Tsit45),
+            _ => return Err(anyhow::anyhow!("Unsupported ODE solver: {value}")),
+        }),
+    };
+
+    match (model, solver) {
+        (CompiledRuntimeModel::Ode(model), Some(solver)) => {
+            Ok(CompiledRuntimeModel::Ode(model.with_solver(solver)))
+        }
+        (CompiledRuntimeModel::Analytical(_), Some(_)) => Err(anyhow::anyhow!(
+            "ODE solver selection requires an ODE model"
+        )),
+        (model, None) => Ok(model),
+        (CompiledRuntimeModel::Sde(_), Some(_)) => Err(anyhow::anyhow!(
+            "ODE solver selection requires an ODE model"
+        )),
+    }
 }
 
 /// The ordered list of parameter names declared by the model.
@@ -30,7 +56,7 @@ fn param_names(model: &CompiledRuntimeModel) -> Vec<String> {
 }
 
 pub(crate) fn model_parameters(source: &str) -> Result<Vec<String>> {
-    Ok(param_names(&compile_dsl(source)?))
+    Ok(param_names(&compile_dsl(source, None)?))
 }
 
 /// Simulate a subject at a support point using an already-compiled model.
@@ -76,8 +102,9 @@ pub(crate) fn fit(
     data: Data,
     params: List,
     output_path: PathBuf,
+    solver: Option<&str>,
 ) -> std::result::Result<(), anyhow::Error> {
-    let model = compile_dsl(source)?;
+    let model = compile_dsl(source, solver)?;
     let names = param_names(&model);
     let output_path_str = output_path
         .to_str()
diff --git a/src/rust/src/lib.rs b/src/rust/src/lib.rs
index b61386412..a12744a87 100644
--- a/src/rust/src/lib.rs
+++ b/src/rust/src/lib.rs
@@ -40,6 +40,7 @@ fn simulate_one(
     data_path: &str,
     model_source: &str,
     spp: &[f64],
+    solver: Nullable<String>,
 ) -> Result<Dataframe<SimulationRow>> {
     validate_data_path(data_path)?;
     let data = read_data(data_path)?;
@@ -48,7 +49,8 @@ fn simulate_one(
         .first()
         .ok_or_else(|| anyhow::anyhow!("Data set contains no subjects"))?;
 
-    let model = executor::compile_dsl(model_source)?;
+    let solver = solver.into_option();
+    let model = executor::compile_dsl(model_source, solver.as_deref())?;
     let rows = executor::simulate_model(&model, first_subject, spp, 0)?;
 
     rows.into_dataframe()
@@ -66,6 +68,7 @@ fn simulate_all(
     data_path: &str,
     model_source: &str,
     theta: RMatrix<f64>,
+    solver: Nullable<String>,
 ) -> Result<Dataframe<SimulationRow>> {
     use rayon::prelude::*;
 
@@ -73,7 +76,8 @@ fn simulate_all(
     let theta = parse_theta(theta)?;
     let data = read_data(data_path)?;
     let subjects = data.subjects();
-    let model = executor::compile_dsl(model_source)?;
+    let solver = solver.into_option();
+    let model = executor::compile_dsl(model_source, solver.as_deref())?;
 
     let rows: Vec<_> = theta
         .par_iter()
@@ -102,13 +106,26 @@ fn simulate_all(
 /// @return Result of the fitting process.
 /// @export
 #[extendr]
-pub fn fit(model_source: &str, data: &str, params: List, output_path: &str) -> Result<()> {
+pub fn fit(
+    model_source: &str,
+    data: &str,
+    params: List,
+    output_path: &str,
+    solver: Nullable<String>,
+) -> Result<()> {
     RFormatLayer::reset_global_timer();
     setup_logs()?;
     println!("Initializing model fit...");
     validate_data_path(data)?;
     let data = read_data(data)?;
-    executor::fit(model_source, data, params, output_path.into())?;
+    let solver = solver.into_option();
+    executor::fit(
+        model_source,
+        data,
+        params,
+        output_path.into(),
+        solver.as_deref(),
+    )?;
     Ok(())
 }
 
diff --git a/tests/testthat/test-dsl-solver-bridge.R b/tests/testthat/test-dsl-solver-bridge.R
new file mode 100644
index 000000000..6d779addd
--- /dev/null
+++ b/tests/testthat/test-dsl-solver-bridge.R
@@ -0,0 +1,93 @@
+make_solver_bridge_model <- function() {
+  PM_model$new(
+    pri = list(k = ab(0.1, 1)),
+    eqn = function() {
+      dX[1] <- R[1] - k * X[1]
+    },
+    out = function() {
+      Y[1] <- X[1]
+    },
+    err = list(additive(0, c(1, 0, 0, 0))),
+    solver = "TSIT45"
+  )
+}
+
+make_solver_bridge_data <- function() {
+  PM_data$new(
+    data.frame(
+      id = c("1", "1"),
+      time = c(0, 1),
+      evid = c(1L, 0L),
+      dose = c(100, NA_real_),
+      dur = c(1, NA_real_),
+      input = c(1L, NA_integer_),
+      out = c(NA_real_, 10),
+      outeq = c(NA_integer_, 1L)
+    ),
+    quiet = TRUE
+  )
+}
+
+test_that("fit forwards the ODE solver and numeric settings", {
+  model <- make_solver_bridge_model()
+  data <- make_solver_bridge_data()
+  run_root <- withr::local_tempdir(pattern = "solver-fit-")
+  captured <- NULL
+
+  result <- testthat::with_mocked_bindings(
+    fit = function(model_source, data, params, output_path, solver = NULL) {
+      captured <<- list(solver = solver, params = params)
+      dir.create(output_path, recursive = TRUE)
+      invisible(NULL)
+    },
+    PM_parse = function(path) invisible(NULL),
+    PM_load = function(path, file, ...) structure(list(path = path), class = c("PM_result", "R6")),
+    {
+      model$fit(
+        data = data,
+        path = run_root,
+        run = 1,
+        cycles = 10L,
+        points = 25L,
+        seed = 7L,
+        overwrite = TRUE,
+        report = "none",
+        quiet = TRUE
+      )
+    }
+  )
+
+  expect_s3_class(result, "PM_result")
+  expect_identical(captured$solver, "tsit45")
+  expect_identical(captured$params$max_cycles, 10)
+  expect_identical(captured$params$points, 25)
+  expect_identical(captured$params$seed, 7)
+})
+
+test_that("simulation forwards the solver and returns one-based indices", {
+  model <- make_solver_bridge_model()
+  data <- make_solver_bridge_data()
+  captured_solver <- NULL
+
+  result <- testthat::with_mocked_bindings(
+    simulate_all = function(data_path, model_source, theta, solver = NULL) {
+      captured_solver <<- solver
+      data.frame(
+        id = "1",
+        time = 1,
+        out = 10,
+        outeq = 0L,
+        state = 10,
+        state_index = 0L,
+        spp_index = 0L
+      )
+    },
+    {
+      model$sim(data, matrix(0.5, nrow = 1), quiet = TRUE)
+    }
+  )
+
+  expect_identical(captured_solver, "tsit45")
+  expect_identical(result$outeq, 1L)
+  expect_identical(result$state_index, 1L)
+})
diff --git a/tests/testthat/test-pm-fit-prior-parameters.R b/tests/testthat/test-pm-fit-prior-parameters.R
index 5eee4c3e6..c85aee0bf 100644
--- a/tests/testthat/test-pm-fit-prior-parameters.R
+++ b/tests/testthat/test-pm-fit-prior-parameters.R
@@ -25,7 +25,7 @@ run_fit_with_mocked_engine <- function(prior_input) {
   captured_wd <- NULL
 
   fit_result <- testthat::with_mocked_bindings(
-    fit = function(model_source, data, params, output_path) {
+    fit = function(model_source, data, params, output_path, solver = NULL) {
       captured_prior <<- params$prior
       captured_wd <<- getwd()
       dir.create(output_path, recursive = TRUE)
@@ -131,7 +131,7 @@ test_that("PM_model$fit supports numeric prior run and normalizes theta.csv colu
   captured_wd <- NULL
 
   fit_result <- testthat::with_mocked_bindings(
-    fit = function(model_source, data, params, output_path) {
+    fit = function(model_source, data, params, output_path, solver = NULL) {
       captured_prior <<- params$prior
       captured_wd <<- getwd()
       dir.create(output_path, recursive = TRUE)

From efc31a3e827e1b855e16effe9244af0c7075eccd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Juli=C3=A1n=20D=2E=20Ot=C3=A1lvaro?=
 <juliandavid347@gmail.com>
Date: Mon, 20 Jul 2026 22:06:14 +0100
Subject: [PATCH 09/16] Update PMcore to 0.26.1

---
 Cargo.lock          | 198 ++++++++++++++++----------------------------
 src/rust/Cargo.toml |   2 +-
 2 files changed, 72 insertions(+), 128 deletions(-)

diff --git a/Cargo.lock b/Cargo.lock
index 6895d87ba..1f73445d7 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -487,14 +487,14 @@ dependencies = [
 
 [[package]]
 name = "diffsol"
-version = "0.12.4"
+version = "0.15.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "34940fd335386fb9098732cacb5999c0062e722f3f7f5eaad2e642db3a3b64a7"
+checksum = "82a780f5b416f2ba4d2df970e4e157ee7de9bff20862bd17df79912b231e4770"
 dependencies = [
  "faer",
  "faer-traits",
  "log",
- "nalgebra 0.34.2",
+ "nalgebra 0.35.0",
  "nalgebra-sparse",
  "num-traits",
  "petgraph",
@@ -911,96 +911,6 @@ dependencies = [
  "stable_deref_trait",
 ]
 
-[[package]]
-name = "glam"
-version = "0.14.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "333928d5eb103c5d4050533cec0384302db6be8ef7d3cebd30ec6a35350353da"
-
-[[package]]
-name = "glam"
-version = "0.15.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3abb554f8ee44336b72d522e0a7fe86a29e09f839a36022fa869a7dfe941a54b"
-
-[[package]]
-name = "glam"
-version = "0.16.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4126c0479ccf7e8664c36a2d719f5f2c140fbb4f9090008098d2c291fa5b3f16"
-
-[[package]]
-name = "glam"
-version = "0.17.3"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e01732b97afd8508eee3333a541b9f7610f454bb818669e66e90f5f57c93a776"
-
-[[package]]
-name = "glam"
-version = "0.18.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "525a3e490ba77b8e326fb67d4b44b4bd2f920f44d4cc73ccec50adc68e3bee34"
-
-[[package]]
-name = "glam"
-version = "0.19.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2b8509e6791516e81c1a630d0bd7fbac36d2fa8712a9da8662e716b52d5051ca"
-
-[[package]]
-name = "glam"
-version = "0.20.5"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f43e957e744be03f5801a55472f593d43fabdebf25a4585db250f04d86b1675f"
-
-[[package]]
-name = "glam"
-version = "0.21.3"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "518faa5064866338b013ff9b2350dc318e14cc4fcd6cb8206d7e7c9886c98815"
-
-[[package]]
-name = "glam"
-version = "0.22.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "12f597d56c1bd55a811a1be189459e8fad2bbc272616375602443bdfb37fa774"
-
-[[package]]
-name = "glam"
-version = "0.23.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8e4afd9ad95555081e109fe1d21f2a30c691b5f0919c67dfa690a2e1eb6bd51c"
-
-[[package]]
-name = "glam"
-version = "0.24.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b5418c17512bdf42730f9032c74e1ae39afc408745ebb2acf72fbc4691c17945"
-
-[[package]]
-name = "glam"
-version = "0.25.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "151665d9be52f9bb40fc7966565d39666f2d1e69233571b71b87791c7e0528b3"
-
-[[package]]
-name = "glam"
-version = "0.27.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9e05e7e6723e3455f4818c7b26e855439f7546cf617ef669d1adedb8669e5cb9"
-
-[[package]]
-name = "glam"
-version = "0.28.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "779ae4bf7e8421cf91c0b3b64e7e8b40b862fba4d393f59150042de7c4965a94"
-
-[[package]]
-name = "glam"
-version = "0.29.3"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8babf46d4c1c9d92deac9f7be466f76dfc4482b6452fc5024b5e8daf6ffeb3ee"
-
 [[package]]
 name = "glam"
 version = "0.30.10"
@@ -1019,6 +929,12 @@ version = "0.32.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f70749695b063ecbf6b62949ccccde2e733ec3ecbbd71d467dca4e5c6c97cca0"
 
+[[package]]
+name = "glam"
+version = "0.33.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7f22fb22f065b308be0d8724e3706c7fa3fc2a6c7d6899df4cad7860e7a75436"
+
 [[package]]
 name = "half"
 version = "2.7.1"
@@ -1230,41 +1146,27 @@ dependencies = [
  "num-traits",
  "rand 0.8.6",
  "rand_distr 0.4.3",
- "simba",
+ "simba 0.9.1",
  "typenum",
 ]
 
 [[package]]
 name = "nalgebra"
-version = "0.34.2"
+version = "0.35.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "df76ea0ff5c7e6b88689085804d6132ded0ddb9de5ca5b8aeb9eeadc0508a70a"
+checksum = "adc43a60c217b0c6ff46e47f26911015ad8d2e5a8be1af668c67e370d99a4346"
 dependencies = [
  "approx",
- "glam 0.14.0",
- "glam 0.15.2",
- "glam 0.16.0",
- "glam 0.17.3",
- "glam 0.18.0",
- "glam 0.19.0",
- "glam 0.20.5",
- "glam 0.21.3",
- "glam 0.22.0",
- "glam 0.23.0",
- "glam 0.24.2",
- "glam 0.25.0",
- "glam 0.27.0",
- "glam 0.28.0",
- "glam 0.29.3",
  "glam 0.30.10",
  "glam 0.31.1",
  "glam 0.32.1",
+ "glam 0.33.2",
  "matrixmultiply",
  "nalgebra-macros",
  "num-complex",
  "num-rational",
  "num-traits",
- "simba",
+ "simba 0.10.0",
  "typenum",
 ]
 
@@ -1281,11 +1183,11 @@ dependencies = [
 
 [[package]]
 name = "nalgebra-sparse"
-version = "0.11.0"
+version = "0.12.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "df054d7815152d4e66955fc59a1f97f4036e5103134a381b6b54ec55babfa6b7"
+checksum = "e8935b578b6a012f3667131452add895472f37c242d2844497daf7c49f6b8059"
 dependencies = [
- "nalgebra 0.34.2",
+ "nalgebra 0.35.0",
  "num-traits",
  "pest",
  "pest_derive",
@@ -1556,9 +1458,9 @@ dependencies = [
 
 [[package]]
 name = "pharmsol"
-version = "0.28.1"
+version = "0.28.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "267eb86b88fef853a8cd79afbdceb652b87e40e8e1ba2e7ce6d21d5acf225ae5"
+checksum = "517dcb31d91e7ef22317abc4a636602a27c96fe895306e5e66a6618c79a8b259"
 dependencies = [
  "ahash",
  "argmin",
@@ -1569,7 +1471,7 @@ dependencies = [
  "cranelift-native",
  "csv",
  "diffsol",
- "nalgebra 0.34.2",
+ "nalgebra 0.35.0",
  "ndarray",
  "pharmsol-dsl",
  "pharmsol-macros",
@@ -1586,9 +1488,9 @@ dependencies = [
 
 [[package]]
 name = "pharmsol-dsl"
-version = "0.28.1"
+version = "0.28.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c20a01d4a94e5385aed5f4b2b57450ac1cbaf7569e9aefe2cd7e4fa8b776fdc0"
+checksum = "d9bc3d888e264fe8b8ff3beb013b6cc5a7e7aef7e7183125ceacc287e39cca1a"
 dependencies = [
  "serde",
  "serde_json",
@@ -1596,14 +1498,14 @@ dependencies = [
 
 [[package]]
 name = "pharmsol-macros"
-version = "0.28.1"
+version = "0.28.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d6fe87076df96575147c61f438d610be5c06e82b8c530a3057634b50506a3bf7"
+checksum = "ebe9df0be821a8064e4b95e30d17edac93461ab6e1514b17db154047ff6a1e12"
 dependencies = [
  "pharmsol-dsl",
  "proc-macro2",
  "quote",
- "syn 2.0.117",
+ "syn 3.0.2",
 ]
 
 [[package]]
@@ -1627,9 +1529,9 @@ dependencies = [
 
 [[package]]
 name = "pmcore"
-version = "0.26.0"
+version = "0.26.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "56bbd4bee49bec5be85c8d97443ab10b55ed4e502b3799bf0dd073dafda24702"
+checksum = "1f104417c52358763982b02c1617499f1ad6349d5e6f342d504f477d98166676"
 dependencies = [
  "anyhow",
  "argmin",
@@ -2038,6 +1940,15 @@ dependencies = [
  "bytemuck",
 ]
 
+[[package]]
+name = "safe_arch"
+version = "1.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3a52ec151f024d703f9fd65abb7cbe81e7cdb39f18917a3a37e3014470dc7c59"
+dependencies = [
+ "bytemuck",
+]
+
 [[package]]
 name = "same-file"
 version = "1.0.6"
@@ -2150,7 +2061,19 @@ dependencies = [
  "num-complex",
  "num-traits",
  "paste",
- "wide",
+ "wide 0.7.33",
+]
+
+[[package]]
+name = "simba"
+version = "0.10.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8f45c644a9f3a386f9288625d9f0c1e999e1acf07a37df35d0516c7f199d9cb2"
+dependencies = [
+ "approx",
+ "num-complex",
+ "num-traits",
+ "wide 1.5.0",
 ]
 
 [[package]]
@@ -2218,6 +2141,17 @@ dependencies = [
  "unicode-ident",
 ]
 
+[[package]]
+name = "syn"
+version = "3.0.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a207d6d6a2b7fc470b80443726053f18a2481b7e1eee970597051596567987a3"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "unicode-ident",
+]
+
 [[package]]
 name = "sysctl"
 version = "0.6.0"
@@ -2568,7 +2502,17 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0ce5da8ecb62bcd8ec8b7ea19f69a51275e91299be594ea5cc6ef7819e16cd03"
 dependencies = [
  "bytemuck",
- "safe_arch",
+ "safe_arch 0.7.4",
+]
+
+[[package]]
+name = "wide"
+version = "1.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "dfdfe6a32973f2d1b268b8895845a8a96cac2f0191e72c27cc929036060dbf89"
+dependencies = [
+ "bytemuck",
+ "safe_arch 1.1.0",
 ]
 
 [[package]]
diff --git a/src/rust/Cargo.toml b/src/rust/Cargo.toml
index b1410e981..a8fa60b20 100755
--- a/src/rust/Cargo.toml
+++ b/src/rust/Cargo.toml
@@ -9,7 +9,7 @@ name = 'pm_rs'
 
 [dependencies]
 extendr-api = "=0.9.0"
-pmcore = { version = "0.26.0", features = ["dsl-jit"] }
+pmcore = { version = "0.26.1", features = ["dsl-jit"] }
 
 rayon = "1.12.0"
 anyhow = "1.0.103"

From 55f6dc2838458324ebdb680523e487c2e82d040c Mon Sep 17 00:00:00 2001
From: Markus Hovd <markushh@uio.no>
Date: Mon, 20 Jul 2026 23:14:06 +0200
Subject: [PATCH 10/16] Documentation update

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---
 R/model_dsl.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/model_dsl.R b/R/model_dsl.R
index 8035e543a..856c35685 100644
--- a/R/model_dsl.R
+++ b/R/model_dsl.R
@@ -16,9 +16,9 @@
 #
 # Naming conventions used by the emitter:
 #   * States   `x[i]`            -> `x{i}`          (declared in `states = ...`)
-#   * Outputs  `Y[i]` / `y[i]`   -> `outeq_{i-1}`   (declared in `outputs = ...`)
-#   * Inputs   `b[j]`/`bolus[j]` -> `bolus(input_{j-1}) -> x{k}`   (route)
-#              `rateiv[j]`/`r[j]`-> `infusion(input_{j-1}) -> x{k}`(route)
+#   * Outputs  `Y[i]` / `y[i]`   -> `outeq_{i}`     (declared in `outputs = ...`)
+#   * Inputs   `b[j]`/`bolus[j]` -> `bolus(input_{j}) -> x{k}`    (route)
+#              `rateiv[j]`/`r[j]`-> `infusion(input_{j}) -> x{k}` (route)
 #   * Params / covariates keep their (lower-cased) names.
 #
 # Infusions and boluses are declared as routes into the compartment in which they

From 4eaedfd2e0ef4feb768482b082c8cc004bfbf9a3 Mon Sep 17 00:00:00 2001
From: Michael Neely <mneely@usc.edu>
Date: Mon, 20 Jul 2026 14:26:16 -0700
Subject: [PATCH 11/16] fix: sim with split, covariates and limits

---
 R/PM_sim.R | 135 ++++++++++++++++++++++++++++++++++-------------------
 1 file changed, 86 insertions(+), 49 deletions(-)

diff --git a/R/PM_sim.R b/R/PM_sim.R
index 247a2e167..95fd83651 100755
--- a/R/PM_sim.R
+++ b/R/PM_sim.R
@@ -759,7 +759,7 @@ PM_sim <- R6::R6Class(
         # set default  values
         
         if (is.null(split)) {
-          if (inherits(poppar, "NPAG")) {
+          if (inherits(final, "NPAG") || inherits(poppar, "NPAG")) {
             split <- TRUE
           } else {
             split <- FALSE
@@ -835,11 +835,11 @@ PM_sim <- R6::R6Class(
           include = include, exclude = exclude, nsim = nsim,
           predInt = predInt,
           covariate = covariate, usePost = usePost,
-          seed = seed, ode = ode,
+          seed = seed,
           noise = noise,
-          makecsv = makecsv, outname = outname, clean = clean,
+          makecsv = makecsv,
           quiet = quiet, useTheta = useTheta,
-          nocheck = nocheck, overwrite = overwrite, msg = msg
+          msg = msg
         )
         
         return(self)
@@ -952,10 +952,10 @@ PM_sim <- R6::R6Class(
     SIMrun = function(poppar, limits, model, data, split,
       include, exclude, nsim, predInt,
       covariate, usePost,
-      seed, ode,
+      seed,
       noise,
-      makecsv, outname, clean, quiet, useTheta,
-      nocheck, overwrite, msg) {
+      makecsv, quiet, useTheta,
+      msg) {
         # DATA PROCESSING AND VALIDATION ------------------------------------------
         
         
@@ -1001,9 +1001,9 @@ PM_sim <- R6::R6Class(
           cli::cli_abort(c("x" = "No subjects to simulate."))
         }
         
-        if (template_numeqt != mod_numeqt) {
-          cli::cli_abort(c("x" = "Number of output equations in model and data do not match."))
-        }
+        # if (template_numeqt != mod_numeqt) {
+        #   cli::cli_abort(c("x" = "Number of output equations in model and data do not match."))
+        # }
         
         # if (!identical(sort(template_covnames), sort(mod_list$cov))) {
         #   cli::cli_abort(c("x" = "Covariate names in model and data do not match."))
@@ -1314,16 +1314,39 @@ PM_sim <- R6::R6Class(
           poppar$popCov <- covMat
           
           
-          # if split is true, then remake (augment) popPoints by adding mean covariate prior to each point
+          # if split is true, augment popPoints with one covariate draw per support
+          # point sampled from the covariate distribution. Using a constant mean
+          # for every point makes the covariate columns have zero variance,
+          # producing a singular covariance matrix and a very high rejection rate.
           if (split) {
-            add_vector_columns <- function(df, v) {
-              v_df <- as_tibble(as.list(v)) # convert named vector to one-row tibble
-              df |> bind_cols(v_df[rep(1, nrow(df)), ]) # replicate the row to match df
+            ndist_split <- nrow(poppar$popPoints)
+            cov_cov_mat <- covMat[(npar + 1):(npar + nsimcov), (npar + 1):(npar + nsimcov), drop = FALSE]
+            cov_mean_vec <- covMean[1:nsimcov]
+            cov_lower <- covLimits$min
+            cov_upper <- covLimits$max
+            
+            # draw one covariate set per support point, rejecting out-of-bounds draws
+            cov_point_samples <- matrix(NA_real_, nrow = ndist_split, ncol = nsimcov,
+                                        dimnames = list(NULL, names(cov_mean_vec)))
+            for (.sp in seq_len(ndist_split)) {
+              for (.attempt in seq_len(100)) {
+                draw <- tryCatch(
+                  suppressWarnings(MASS::mvrnorm(1, mu = cov_mean_vec, Sigma = cov_cov_mat)),
+                  error = function(e) cov_mean_vec
+                )
+                if (!any(draw < cov_lower) && !any(draw > cov_upper)) {
+                  cov_point_samples[.sp, ] <- draw
+                  break
+                }
+                if (.attempt == 100) cov_point_samples[.sp, ] <- cov_mean_vec # fallback to mean
+              }
             }
             
-            poppar$popPoints <- poppar$popPoints |>
-            add_vector_columns(covMean) |>
-            select(-prob, everything(), prob)
+            poppar$popPoints <- dplyr::bind_cols(
+              poppar$popPoints |> dplyr::select(-prob),
+              tibble::as_tibble(cov_point_samples),
+              poppar$popPoints |> dplyr::select(prob)
+            )
           }
         } else {
           simWithCov <- FALSE
@@ -1498,7 +1521,7 @@ PM_sim <- R6::R6Class(
         
         
         # FINAL RETURN ------------------------------------------------------------
-        if (length(msg) > 0) {
+        if (!quiet && length(msg) > 0) {
           cli::cli_alert_info("Simulation messages:")
           purrr::walk(msg, \(m) cli::cli_bullets(c("*" = m)))
           return(invisible(NULL))
@@ -2603,45 +2626,59 @@ generate_multimodal_samples <- function(num_samples, weights, means, cov_matrix,
   samples_per_mode <- stats::rmultinom(1, size = num_samples, prob = weights)
   
   # function used later to check if any parameters are outside their limits
-  outside_check <- function(x) {
-    any(x - limits$min < 0) | # any parameter < lower limit
-    any(x - limits$max > 0) # any parameter > upper limit
+  outside_check <- function(x, lower, upper) {
+    x <- unlist(x, use.names = TRUE)
+    any(x < lower[names(x)]) || any(x > upper[names(x)])
   }
   
+  lower_bounds <- stats::setNames(limits$min, limits$par)
+  upper_bounds <- stats::setNames(limits$max, limits$par)
+  
   # Generate samples bounded by limits for each mode
   all_samples <- map(1:length(weights), function(j) {
-    samples <- tryCatch(suppressWarnings(MASS::mvrnorm(n = samples_per_mode[j, ], mu = as.matrix(means[[j]], nrow = 1), Sigma = cov_matrix)), error = function(e) NULL)
+    mu_j <- unlist(means[[j]], use.names = TRUE)
+    par_names <- names(mu_j)
+    lower_j <- lower_bounds[par_names]
+    upper_j <- upper_bounds[par_names]
+    n_j <- as.integer(samples_per_mode[j, ])
     
-    # replace any outside their limits
-    if (!is.null(samples)) {
-      if (!is.matrix(samples)) {
-        samples <- as.data.frame(as.list(samples))
-        names(samples) <- names(means[[j]])
-      }
-      
-      discarded <- NULL
-      if (!all(is.null(limits))) {
-        for (k in 1:nrow(samples)) {
-          cycle_num <- 0
-          outside <- outside_check(samples[k, ])
-          while (outside && cycle_num < 20) {
-            new_sample <- tryCatch(suppressWarnings(MASS::mvrnorm(n = 1, mu = as.matrix(means[[j]], nrow = 1), Sigma = cov_matrix)), error = function(e) NULL)
-            cycle_num <- cycle_num + 1
-            outside <- outside_check(new_sample)
-          }
-          if (outside) {
-            cli::cli_abort(c("x" = "Unable to generate simulated parameters within limits after 20 attempts per row."))
-          }
-          if (cycle_num > 0) {
-            discarded <- rbind(discarded, samples[k, ])
-            samples[k, ] <- new_sample
+    keep_list <- vector("list", n_j)
+    discard_list <- list()
+    
+    for (k in seq_len(n_j)) {
+      cycle_num <- 0
+      repeat {
+        draw <- tryCatch(
+          suppressWarnings(MASS::mvrnorm(
+            n = 1,
+            mu = as.numeric(mu_j),
+            Sigma = cov_matrix
+          )),
+          error = function(e) NULL
+        )
+        cycle_num <- cycle_num + 1
+        if (!is.null(draw)) {
+          names(draw) <- par_names
+          if (!outside_check(draw, lower_j, upper_j)) {
+            keep_list[[k]] <- as.data.frame(as.list(unname(draw)))
+            names(keep_list[[k]]) <- par_names
+            break
           }
-        } # end loop to fix thetas out of range
+          discard_list[[length(discard_list) + 1]] <- as.data.frame(as.list(unname(draw)))
+          names(discard_list[[length(discard_list)]]) <- par_names
+        }
+        if (cycle_num >= 500) {
+          cli::cli_abort(c(
+            "x" = "Unable to generate simulated parameters within limits after repeated attempts.",
+            "i" = "The constrained draw failed for mode {.val {j}} and row {.val {k}}."
+          ))
+        }
       }
-      
-      
-      list(keep = samples, discard = discarded) # the final set of samples for this mode
     }
+    
+    samples <- dplyr::bind_rows(keep_list)
+    discarded <- if (length(discard_list) > 0) dplyr::bind_rows(discard_list) else NULL
+    list(keep = samples, discard = discarded)
   })
   
   

From b5f58480639ea880895f015a72d458c54c320b20 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Juli=C3=A1n=20D=2E=20Ot=C3=A1lvaro?=
 <juliandavid347@gmail.com>
Date: Tue, 21 Jul 2026 23:25:29 +0100
Subject: [PATCH 12/16] Add PM_model DSL factory

---
 R/PM_model.R                            | 305 +++++++++++++++++++++++-
 R/extendr-wrappers.R                    |   2 +
 R/model_dsl.R                           |  31 ++-
 man/PM_model.Rd                         |  19 ++
 src/rust/src/executor.rs                |   9 +-
 src/rust/src/lib.rs                     |  69 ++++++
 src/rust/src/settings.rs                |  22 +-
 tests/testthat/test-pm-model-from-dsl.R | 153 ++++++++++++
 8 files changed, 581 insertions(+), 29 deletions(-)
 create mode 100644 tests/testthat/test-pm-model-from-dsl.R

diff --git a/R/PM_model.R b/R/PM_model.R
index 97c056d3a..451d948c7 100644
--- a/R/PM_model.R
+++ b/R/PM_model.R
@@ -27,6 +27,26 @@
 #' the list code is generated and copied to the clipboard for pasting in to scripts.
 #' Model files will be deprecated in future versions of Pmetrics.
 #'
+#' Use `PM_model$from_dsl()` to create a model directly from pharmsol DSL text.
+#' The DSL defines the model structure. The `pri` and `err` arguments provide
+#' the Pmetrics parameter ranges and error models.
+#'
+#' @section Create a model from DSL:
+#' ```
+#' PM_model$from_dsl(
+#'   dsl,
+#'   pri,
+#'   err,
+#'   input_map = NULL,
+#'   solver = NULL,
+#'   quiet = FALSE
+#' )
+#' ```
+#'
+#' `dsl` is one character string containing the model source. `input_map` is an
+#' optional named integer vector that maps DSL route names to Pmetrics `INPUT`
+#' values. Routes named `input_1`, `input_2`, and so on are mapped automatically.
+#'
 #' **Some notes on the example at the end of this help page:**
 #'
 #' * It's a complete example of a three compartment model with delayed absorption.
@@ -89,9 +109,8 @@ PM_model <- R6::R6Class(
     #' @field dsl The model definition rendered as pharmsol DSL source, used by the
     #' Rust backend to JIT-compile the model at run time.
     dsl = NULL,
-    #' @field input_remap A list describing any data input remapping required by
-    #' the DSL model (used when an input drives both a bolus and an infusion
-    #' route). Each element is a list with `kind`, `from`, and `to`.
+    #' @field input_remap A list describing data label changes required by the
+    #' DSL model. Each element is a list with `kind`, `from`, and `to`.
     input_remap = NULL,
     #' @description
     #' This is the method to create a new `PM_model` object.
@@ -385,6 +404,8 @@ PM_model <- R6::R6Class(
     #' Supported values are "BDF", "TRBDF2", "ESDIRK34", and "TSIT45".
     #' This is ignored for analytical library models.
     #' @param ... Not currently used.
+    #' @param .dsl Internal DSL source used by `PM_model$from_dsl()`.
+    #' @param .input_map Internal route mapping used by `PM_model$from_dsl()`.
     initialize = function(x = NULL,
                           pri = NULL,
                           cov = NULL,
@@ -396,7 +417,16 @@ PM_model <- R6::R6Class(
                           out = NULL,
                           err = NULL,
                           solver = NULL,
-                          ...) {
+                          ...,
+                          .dsl = NULL,
+                          .input_map = NULL) {
+      if (!is.null(.dsl)) {
+        extra_args <- list(...)
+        quiet <- isTRUE(extra_args$quiet)
+        private$from_dsl(.dsl, pri, err, .input_map, solver, quiet)
+        return(invisible(self))
+      }
+
       # Store the original function arguments
       self$arg_list <- list(
         # x = x,
@@ -431,6 +461,14 @@ PM_model <- R6::R6Class(
             }
           })
         } else if (inherits(x, "PM_model")) { # x is a PM_model object
+          if (isTRUE(x$model_list$from_dsl)) {
+            self$arg_list <- x$arg_list
+            self$model_list <- x$model_list
+            self$dsl <- x$dsl
+            self$input_remap <- x$input_remap
+            return(invisible(self))
+          }
+
           if (!"arg_list" %in% names(x)) {
             cli::cli_abort(c(
               "x" = "You have supplied an older {.code PM_model} format.",
@@ -847,9 +885,13 @@ PM_model <- R6::R6Class(
       }
 
       cli::cli_h3(text = "Outputs")
-      outs <- func_to_char(self$arg_list$out)
-      for (i in outs) {
-        cli::cli_text("{.eqs {i}}")
+      if (isTRUE(self$model_list$from_dsl)) {
+        cli::cli_text("{.eqs {self$model_list$outputs}}")
+      } else {
+        outs <- func_to_char(self$arg_list$out)
+        for (i in outs) {
+          cli::cli_text("{.eqs {i}}")
+        }
       }
 
       cli::cli_h3(text = "Error Model")
@@ -1050,25 +1092,41 @@ PM_model <- R6::R6Class(
         bolus <- unique(data$standard_data$input[data$standard_data$dur == 0]) |> purrr::discard(~ is.na(.x))
         infusion <- unique(data$standard_data$input[data$standard_data$dur > 0]) |> purrr::discard(~ is.na(.x))
         if (length(bolus) > 0) {
-          model_bolus <- eqn_route_inputs(self$arg_list$eqn, "bolus")
+          model_bolus <- if (isTRUE(self$model_list$from_dsl)) {
+            self$model_list$route_inputs$bolus
+          } else {
+            eqn_route_inputs(self$arg_list$eqn, "bolus")
+          }
           missing_bolus <- setdiff(bolus, model_bolus)
           if (length(missing_bolus) > 0) {
-            msg <- c(msg, "Bolus input(s) {paste(missing_bolus, collapse = ', ')} {?is/are} missing from the model equations. Use {.code b[{missing_bolus}]} or {.code bolus[{missing_bolus}]}, for example, to represent bolus inputs in the equations.")
+            if (isTRUE(self$model_list$from_dsl)) {
+              msg <- c(msg, "Bolus input(s) {paste(missing_bolus, collapse = ', ')} {?is/are} missing from the model.")
+            } else {
+              msg <- c(msg, "Bolus input(s) {paste(missing_bolus, collapse = ', ')} {?is/are} missing from the model equations. Use {.code b[{missing_bolus}]} or {.code bolus[{missing_bolus}]}, for example, to represent bolus inputs in the equations.")
+            }
             run_error <- run_error + 1
           }
         }
         if (length(infusion) > 0) {
-          model_infusion <- eqn_route_inputs(self$arg_list$eqn, "infusion")
+          model_infusion <- if (isTRUE(self$model_list$from_dsl)) {
+            self$model_list$route_inputs$infusion
+          } else {
+            eqn_route_inputs(self$arg_list$eqn, "infusion")
+          }
           missing_infusion <- setdiff(infusion, model_infusion)
           if (length(missing_infusion) > 0) {
-            msg <- c(msg, "Infusion input(s) {paste(missing_infusion, collapse = ', ')} {?is/are} missing from the model equations. Use {.code r[{missing_infusion}]} or {.code rateiv[{missing_infusion}]} , for example, to represent infusion inputs in the equations.")
+            if (isTRUE(self$model_list$from_dsl)) {
+              msg <- c(msg, "Infusion input(s) {paste(missing_infusion, collapse = ', ')} {?is/are} missing from the model.")
+            } else {
+              msg <- c(msg, "Infusion input(s) {paste(missing_infusion, collapse = ', ')} {?is/are} missing from the model equations. Use {.code r[{missing_infusion}]} or {.code rateiv[{missing_infusion}]} , for example, to represent infusion inputs in the equations.")
+            }
             run_error <- run_error + 1
           }
         }
       }
 
       # covariates
-      modelCov <- self$model_list$cov
+      modelCov <- self$model_list$covariates
       if (length(modelCov) > 0) {
         dataCov <- tolower(getCov(data)$covnames)
         missingCov <- modelCov[!modelCov %in% dataCov]
@@ -1614,6 +1672,21 @@ PM_model <- R6::R6Class(
     #' This is useful for saving the model code in a script.
     copy = function() {
       arg_list <- self$arg_list
+
+      if (isTRUE(self$model_list$from_dsl)) {
+        if (requireNamespace("clipr", quietly = TRUE) &&
+            isTRUE(tryCatch({
+              clipr::write_clip(self$dsl, allow_non_interactive = TRUE)
+              TRUE
+            }, error = function(...) FALSE))) {
+          cli::cli_inform(c("v" = "DSL copied to the clipboard."))
+        } else {
+          cli::cli_inform(c("i" = "Clipboard copy is unavailable. The DSL is printed below."))
+          cat("\n", self$dsl, "\n")
+        }
+        return(invisible(self))
+      }
+
       # pri
       pri <- c(
         "  pri = list(\n",
@@ -1756,6 +1829,198 @@ PM_model <- R6::R6Class(
     } # end copy
   ), # end public list
   private = list(
+    from_dsl = function(dsl, pri, err, input_map, solver, quiet) {
+      if (!is.character(dsl) || length(dsl) != 1 || is.na(dsl) || !nzchar(dsl)) {
+        cli::cli_abort("{.arg dsl} must be one non-empty character string.")
+      }
+      if (!is.list(pri) || length(pri) == 0 || is.null(names(pri)) || any(names(pri) == "")) {
+        cli::cli_abort("{.arg pri} must be a named list of parameter ranges.")
+      }
+      if (!all(vapply(pri, inherits, logical(1), "PM_pri"))) {
+        cli::cli_abort("Each value in {.arg pri} must be created with {.fn ab} or {.fn msd}.")
+      }
+      if (!is.list(err) || length(err) == 0 || !all(vapply(err, inherits, logical(1), "PM_err"))) {
+        cli::cli_abort("{.arg err} must be a list of Pmetrics error models.")
+      }
+      if (!is.null(solver)) validate_ode_solver(solver)
+
+      metadata <- tryCatch(
+        model_metadata(dsl, solver),
+        error = function(e) {
+          cli::cli_abort(c("x" = "DSL model preparation failed: {conditionMessage(e)}"))
+        }
+      )
+
+      kind <- tolower(metadata$kind)
+      if (identical(kind, "sde")) {
+        cli::cli_abort("SDE models are not supported by {.fn PM_model$from_dsl}.")
+      }
+
+      parameters <- metadata$parameters
+      pri_names <- tolower(names(pri))
+      parameter_names <- tolower(parameters)
+      if (anyDuplicated(pri_names)) {
+        cli::cli_abort("Parameter names in {.arg pri} must be unique.")
+      }
+      missing_pri <- parameters[!parameter_names %in% pri_names]
+      extra_pri <- names(pri)[!pri_names %in% parameter_names]
+      if (length(missing_pri) > 0 || length(extra_pri) > 0) {
+        details <- c(
+          if (length(missing_pri) > 0) "i" = "Missing pri: {paste(missing_pri, collapse = ', ')}.",
+          if (length(extra_pri) > 0) "i" = "Unknown pri: {paste(extra_pri, collapse = ', ')}."
+        )
+        cli::cli_abort(c("x" = "{.arg pri} does not match the DSL parameters.", details))
+      }
+      pri <- pri[match(parameter_names, pri_names)]
+      names(pri) <- parameters
+
+      outputs <- metadata$outputs
+      err_names <- names(err)
+      has_err_names <- !is.null(err_names) && any(nzchar(err_names))
+      if (has_err_names) {
+        if (any(!nzchar(err_names)) || anyDuplicated(tolower(err_names))) {
+          cli::cli_abort("When named, every value in {.arg err} must have a unique output name.")
+        }
+        output_names <- tolower(outputs)
+        normalized_err_names <- tolower(err_names)
+        missing_err <- outputs[!output_names %in% normalized_err_names]
+        extra_err <- err_names[!normalized_err_names %in% output_names]
+        if (length(missing_err) > 0 || length(extra_err) > 0) {
+          cli::cli_abort("Names in {.arg err} must match the DSL outputs.")
+        }
+        err <- err[match(output_names, normalized_err_names)]
+      } else {
+        err_outeqs <- vapply(err, function(model) suppressWarnings(as.numeric(model$outeq)), numeric(1))
+        if (length(err) != length(outputs) ||
+            any(is.na(err_outeqs)) ||
+            !setequal(err_outeqs, seq_along(outputs))) {
+          cli::cli_abort("{.arg err} must define one error model for each DSL output.")
+        }
+        err <- err[match(seq_along(outputs), err_outeqs)]
+      }
+      for (i in seq_along(err)) err[[i]]$outeq <- i
+      names(err) <- outputs
+
+      routes <- metadata$routes
+      route_kinds <- metadata$route_kinds
+      if (length(routes) > 0 && any(!route_kinds %in% c("bolus", "infusion"))) {
+        cli::cli_abort("Each DSL route must be declared as bolus or infusion.")
+      }
+
+      if (length(routes) == 0) {
+        if (!is.null(input_map) && length(input_map) > 0) {
+          cli::cli_abort("{.arg input_map} was supplied, but the DSL has no routes.")
+        }
+        input_map <- numeric(0)
+      } else {
+        route_names <- tolower(routes)
+        inferred <- rep(NA_integer_, length(routes))
+        names(inferred) <- routes
+        numeric_routes <- grepl("^input_[1-9][0-9]*$", routes)
+        inferred[numeric_routes] <- as.integer(sub("^input_", "", routes[numeric_routes]))
+
+        if (!is.null(input_map)) {
+          if (!is.numeric(input_map) || is.null(names(input_map)) || any(names(input_map) == "")) {
+            cli::cli_abort("{.arg input_map} must be a named integer vector.")
+          }
+          map_names <- tolower(names(input_map))
+          if (anyDuplicated(map_names) || any(!map_names %in% route_names)) {
+            cli::cli_abort("Names in {.arg input_map} must match DSL routes.")
+          }
+          inferred[match(map_names, route_names)] <- input_map
+        }
+
+        input_map <- inferred
+        if (any(is.na(input_map))) {
+          missing_routes <- names(input_map)[is.na(input_map)]
+          cli::cli_abort(c(
+            "x" = "{.arg input_map} is required for named DSL routes: {paste(missing_routes, collapse = ', ')}.",
+            "i" = "Use a named integer vector such as c(iv = 1L)."
+          ))
+        }
+        if (any(!is.finite(input_map)) || any(input_map < 1) || any(input_map %% 1 != 0)) {
+          cli::cli_abort("Values in {.arg input_map} must be positive integers.")
+        }
+        input_map <- as.integer(input_map)
+        names(input_map) <- routes
+
+        for (kind_name in c("bolus", "infusion")) {
+          kind_inputs <- input_map[route_kinds == kind_name]
+          if (anyDuplicated(kind_inputs)) {
+            cli::cli_abort("Two {kind_name} routes cannot use the same Pmetrics input.")
+          }
+        }
+      }
+
+      remap <- list()
+      for (i in seq_along(routes)) {
+        if (!identical(routes[[i]], paste0("input_", input_map[[i]]))) {
+          remap[[length(remap) + 1L]] <- list(
+            kind = route_kinds[[i]],
+            from = input_map[[i]],
+            to = routes[[i]]
+          )
+        }
+      }
+      for (i in seq_along(outputs)) {
+        if (!identical(outputs[[i]], paste0("outeq_", i))) {
+          remap[[length(remap) + 1L]] <- list(kind = "output", from = i, to = outputs[[i]])
+        }
+      }
+
+      covariates <- metadata$covariates
+      interpolation <- metadata$covariate_interpolation
+      cov <- if (length(covariates) > 0) {
+        stats::setNames(as.integer(interpolation == "linear"), covariates)
+      } else {
+        numeric(0)
+      }
+
+      self$arg_list <- list(
+        pri = pri,
+        cov = cov,
+        sec = NULL,
+        eqn = NULL,
+        lag = NULL,
+        fa = NULL,
+        ini = NULL,
+        out = NULL,
+        err = err,
+        solver = solver,
+        input_map = input_map,
+        from_dsl = TRUE
+      )
+      self$model_list <- list(
+        pri = pri,
+        n_eqn = metadata$state_len,
+        n_eqn_slots = metadata$state_len,
+        n_drug = metadata$route_len,
+        n_drug_slots = metadata$route_len,
+        n_out = length(outputs),
+        n_out_slots = metadata$output_len,
+        parameters = parameters,
+        covariates = covariates,
+        cov = covariates,
+        err = err,
+        solver = if (is.null(solver)) NULL else tolower(solver),
+        name = metadata$name,
+        type = if (identical(kind, "ode")) "ODE" else "Analytical",
+        states = metadata$states,
+        outputs = outputs,
+        routes = routes,
+        route_kinds = route_kinds,
+        route_inputs = list(
+          bolus = unname(input_map[route_kinds == "bolus"]),
+          infusion = unname(input_map[route_kinds == "infusion"])
+        ),
+        from_dsl = TRUE
+      )
+      self$dsl <- dsl
+      self$input_remap <- remap
+
+      if (!quiet) cli::cli_inform(c("v" = "DSL model prepared."))
+      invisible(self)
+    },
     # read file
     R6fromFile = function(file) {
       msg <- ""
@@ -1931,6 +2196,22 @@ PM_model <- R6::R6Class(
   ) # end private
 ) # end R6Class PM_model
 
+PM_model$from_dsl <- function(dsl,
+                              pri,
+                              err,
+                              input_map = NULL,
+                              solver = NULL,
+                              quiet = FALSE) {
+  PM_model$new(
+    pri = pri,
+    err = err,
+    solver = solver,
+    quiet = quiet,
+    .dsl = dsl,
+    .input_map = input_map
+  )
+}
+
 validate_ode_solver <- function(solver) {
   if (!is.character(solver) || length(solver) != 1) {
     cli::cli_abort(c(
diff --git a/R/extendr-wrappers.R b/R/extendr-wrappers.R
index fce730010..2f9a9105f 100644
--- a/R/extendr-wrappers.R
+++ b/R/extendr-wrappers.R
@@ -48,6 +48,8 @@ fit <- function(model_source, data, params, output_path, solver = NULL) .Call(wr
 #' @export
 model_parameters <- function(model_source) .Call(wrap__model_parameters, model_source)
 
+model_metadata <- function(model_source, solver = NULL) .Call(wrap__model_metadata, model_source, solver)
+
 #' Initialize the tracing subscriber with the custom R formatter
 #' @keywords internal
 #' @export
diff --git a/R/model_dsl.R b/R/model_dsl.R
index 856c35685..c6ffe9c0e 100644
--- a/R/model_dsl.R
+++ b/R/model_dsl.R
@@ -442,12 +442,7 @@ dsl_finalize_routes <- function(routes) {
   list(routes = final_routes, remap = remap)
 }
 
-# Rewrite the `INPUT` column of a Pmetrics CSV to apply a route input remap.
-#
-# `remap` is the table returned by [dsl_finalize_routes]. For each infusion
-# remap `{from, to}`, dose rows with a positive duration (`DUR > 0`) and
-# `INPUT == from` are rewritten to `INPUT == to`, so that infusion events bind to
-# the separately-labelled infusion route in the DSL model.
+# Rewrite Pmetrics data labels to match DSL route and output names.
 remap_input_csv <- function(path, remap) {
   if (length(remap) == 0 || !file.exists(path)) {
     return(invisible(path))
@@ -461,16 +456,32 @@ remap_input_csv <- function(path, remap) {
   cols <- toupper(names(df))
   dur_col <- match("DUR", cols)
   input_col <- match("INPUT", cols)
-  if (is.na(dur_col) || is.na(input_col)) {
-    cli::cli_abort("Unable to apply input remap: {.field DUR}/{.field INPUT} columns not found.")
+  outeq_col <- match("OUTEQ", cols)
+
+  has_routes <- any(vapply(remap, function(x) x$kind %in% c("bolus", "infusion"), logical(1)))
+  has_outputs <- any(vapply(remap, function(x) identical(x$kind, "output"), logical(1)))
+  if (has_routes && (is.na(dur_col) || is.na(input_col))) {
+    cli::cli_abort("Unable to apply route mapping: {.field DUR}/{.field INPUT} columns not found.")
+  }
+  if (has_outputs && is.na(outeq_col)) {
+    cli::cli_abort("Unable to apply output mapping: {.field OUTEQ} column not found.")
+  }
+
+  if (has_routes) {
+    dur <- suppressWarnings(as.numeric(df[[dur_col]]))
+    input <- df[[input_col]]
   }
 
-  dur <- suppressWarnings(as.numeric(df[[dur_col]]))
-  input <- df[[input_col]]
   for (m in remap) {
     if (identical(m$kind, "infusion")) {
       sel <- !is.na(dur) & dur > 0 & input == as.character(m$from)
       df[[input_col]][sel] <- as.character(m$to)
+    } else if (identical(m$kind, "bolus")) {
+      sel <- (is.na(dur) | dur <= 0) & input == as.character(m$from)
+      df[[input_col]][sel] <- as.character(m$to)
+    } else if (identical(m$kind, "output")) {
+      sel <- df[[outeq_col]] == as.character(m$from)
+      df[[outeq_col]][sel] <- as.character(m$to)
     }
   }
 
diff --git a/man/PM_model.Rd b/man/PM_model.Rd
index 5f61ac5cb..5ab00903d 100755
--- a/man/PM_model.Rd
+++ b/man/PM_model.Rd
@@ -20,6 +20,25 @@ directly in R, or by reading a model text file. When reading a model text file,
 the list code is generated and copied to the clipboard for pasting in to scripts.
 Model files will be deprecated in future versions of Pmetrics.
 
+Use \code{PM_model$from_dsl()} to create a model directly from pharmsol DSL text.
+The DSL defines the model structure. The \code{pri} and \code{err} arguments provide
+the Pmetrics parameter ranges and error models.
+
+\section{Create a model from DSL}{
+\preformatted{PM_model$from_dsl(
+  dsl,
+  pri,
+  err,
+  input_map = NULL,
+  solver = NULL,
+  quiet = FALSE
+)}
+
+\code{dsl} is one character string containing the model source. \code{input_map} is an
+optional named integer vector that maps DSL route names to Pmetrics \code{INPUT}
+values. Routes named \code{input_1}, \code{input_2}, and so on are mapped automatically.
+}
+
 \strong{Some notes on the example at the end of this help page:}
 \itemize{
 \item It's a complete example of a three compartment model with delayed absorption.
diff --git a/src/rust/src/executor.rs b/src/rust/src/executor.rs
index 2739c3042..995f529a7 100644
--- a/src/rust/src/executor.rs
+++ b/src/rust/src/executor.rs
@@ -55,6 +55,12 @@ fn param_names(model: &CompiledRuntimeModel) -> Vec<String> {
         .collect()
 }
 
+fn output_names(model: &CompiledRuntimeModel) -> Vec<String> {
+    let mut outputs = model.info().outputs.clone();
+    outputs.sort_by_key(|output| output.index);
+    outputs.into_iter().map(|output| output.name).collect()
+}
+
 pub(crate) fn model_parameters(source: &str) -> Result<Vec<String>> {
     Ok(param_names(&compile_dsl(source, None)?))
 }
@@ -106,10 +112,11 @@ pub(crate) fn fit(
 ) -> std::result::Result<(), anyhow::Error> {
     let model = compile_dsl(source, solver)?;
     let names = param_names(&model);
+    let outputs = output_names(&model);
     let output_path_str = output_path
         .to_str()
         .ok_or_else(|| anyhow::anyhow!("Output path contains invalid UTF-8: {:?}", output_path))?;
-    let config = settings(params, &names, output_path_str)?;
+    let config = settings(params, &names, &outputs, output_path_str)?;
 
     match model {
         CompiledRuntimeModel::Ode(eq) => run_fit(eq, data, config),
diff --git a/src/rust/src/lib.rs b/src/rust/src/lib.rs
index a12744a87..89e99f4f2 100644
--- a/src/rust/src/lib.rs
+++ b/src/rust/src/lib.rs
@@ -153,6 +153,74 @@ fn model_parameters(model_source: &str) -> Result<Vec<String>> {
     executor::model_parameters(model_source)
 }
 
+#[extendr]
+fn model_metadata(model_source: &str, solver: Nullable<String>) -> Result<List> {
+    let solver = solver.into_option();
+    let model = executor::compile_dsl(model_source, solver.as_deref())?;
+    let info = model.info();
+
+    let mut covariates = info.covariates.clone();
+    covariates.sort_by_key(|covariate| covariate.index);
+    let covariate_names = covariates
+        .iter()
+        .map(|covariate| covariate.name.clone())
+        .collect::<Vec<_>>();
+    let covariate_interpolation = covariates
+        .iter()
+        .map(|covariate| {
+            covariate
+                .interpolation
+                .map(|value| format!("{value:?}").to_lowercase())
+                .unwrap_or_default()
+        })
+        .collect::<Vec<_>>();
+
+    let mut states = info.states.clone();
+    states.sort_by_key(|state| state.offset);
+    let state_names = states
+        .into_iter()
+        .map(|state| state.name)
+        .collect::<Vec<_>>();
+
+    let mut routes = info.routes.clone();
+    routes.sort_by_key(|route| route.declaration_index);
+    let route_names = routes
+        .iter()
+        .map(|route| route.name.clone())
+        .collect::<Vec<_>>();
+    let route_kinds = routes
+        .iter()
+        .map(|route| {
+            route
+                .kind
+                .map(|value| format!("{value:?}").to_lowercase())
+                .unwrap_or_default()
+        })
+        .collect::<Vec<_>>();
+
+    let mut outputs = info.outputs.clone();
+    outputs.sort_by_key(|output| output.index);
+    let output_names = outputs
+        .into_iter()
+        .map(|output| output.name)
+        .collect::<Vec<_>>();
+
+    Ok(list!(
+        name = info.name.clone(),
+        kind = info.kind.keyword(),
+        parameters = info.parameters.clone(),
+        covariates = covariate_names,
+        covariate_interpolation = covariate_interpolation,
+        states = state_names,
+        routes = route_names,
+        route_kinds = route_kinds,
+        outputs = output_names,
+        state_len = info.state_len as i32,
+        route_len = info.route_len as i32,
+        output_len = info.output_len as i32
+    ))
+}
+
 /// Initialize the tracing subscriber with the custom R formatter
 /// @keywords internal
 /// @export
@@ -180,6 +248,7 @@ extendr_module! {
     fn simulate_all;
     fn fit;
     fn model_parameters;
+    fn model_metadata;
     fn setup_logs;
 }
 
diff --git a/src/rust/src/settings.rs b/src/rust/src/settings.rs
index 0100135e8..341a83417 100644
--- a/src/rust/src/settings.rs
+++ b/src/rust/src/settings.rs
@@ -51,7 +51,12 @@ fn get_real_or(map: &HashMap<&str, Robj>, key: &str, default: f64) -> AnyResult<
     Ok(get_field(map, key)?.as_real().unwrap_or(default))
 }
 
-pub(crate) fn settings(settings: List, params: &[String], output_path: &str) -> Result<RunConfig> {
+pub(crate) fn settings(
+    settings: List,
+    params: &[String],
+    outputs: &[String],
+    output_path: &str,
+) -> Result<RunConfig> {
     let settings: HashMap<&str, Robj> = HashMap::try_from(&settings)
         .map_err(|e| anyhow!("Failed to convert settings list to map: {}", e))?;
 
@@ -76,10 +81,7 @@ pub(crate) fn settings(settings: List, params: &[String], output_path: &str) ->
 
     let error_models_raw = get_list(&settings, "error_models")?;
     // Each error model declares the 1-based output equation (`outeq`) it applies
-    // to. Error models are stored by output *slot* (declaration order, 0-based),
-    // so the declared `outeq` maps to slot `outeq - 1`. The model DSL declares
-    // outputs with 1-based numeric labels (`outeq_1`, ...) to match the Pmetrics
-    // data `OUTEQ` column, and the first declared output occupies slot 0.
+    // to. The number selects an output by declaration order.
     let mut ems = AssayErrorModels::new();
 
     for (i, (_, em)) in error_models_raw.iter().enumerate() {
@@ -100,6 +102,14 @@ pub(crate) fn settings(settings: List, params: &[String], output_path: &str) ->
             bail!("error_models[{}].outeq must be 1 or greater", i + 1);
         }
         let outeq = outeq_1based - 1;
+        let output = outputs.get(outeq).ok_or_else(|| {
+            anyhow!(
+                "error_models[{}].outeq is {}, but the model has {} outputs",
+                i + 1,
+                outeq_1based,
+                outputs.len()
+            )
+        })?;
 
         let gamlam = get_field(&em, "initial")?.as_real().ok_or_else(|| {
             anyhow!(
@@ -154,7 +164,7 @@ pub(crate) fn settings(settings: List, params: &[String], output_path: &str) ->
             }
             err => bail!("Invalid Error type: {}", err),
         };
-        ems = ems.add(outeq, model)?;
+        ems = ems.add(output.clone(), model)?;
     }
 
     let prior = get_str(&settings, "prior")?;
diff --git a/tests/testthat/test-pm-model-from-dsl.R b/tests/testthat/test-pm-model-from-dsl.R
new file mode 100644
index 000000000..7e37ce185
--- /dev/null
+++ b/tests/testthat/test-pm-model-from-dsl.R
@@ -0,0 +1,153 @@
+simple_dsl <- "
+name = simple_iv
+kind = ode
+params = k, v
+states = central
+outputs = cp
+infusion(input_1) -> central
+dx(central) = rate(input_1) - k * central
+out(cp) = central / v ~ continuous()
+"
+
+testthat::test_that("PM_model$from_dsl creates a model from DSL text", {
+  model <- PM_model$from_dsl(
+    simple_dsl,
+    pri = list(v = ab(1, 100), k = ab(0.01, 2)),
+    err = list(cp = proportional(1, c(0.1, 0, 0, 0))),
+    solver = "TSIT45",
+    quiet = TRUE
+  )
+
+  expect_s3_class(model, "PM_model")
+  expect_identical(model$dsl, simple_dsl)
+  expect_identical(model$model_list$parameters, c("k", "v"))
+  expect_identical(names(model$model_list$pri), c("k", "v"))
+  expect_identical(model$model_list$outputs, "cp")
+  expect_identical(model$model_list$solver, "tsit45")
+  expect_identical(model$model_list$route_inputs$infusion, 1L)
+  expect_equal(model$model_list$err[[1]]$outeq, 1)
+  expect_true(isTRUE(model$model_list$from_dsl))
+})
+
+testthat::test_that("PM_model$from_dsl maps named routes and outputs", {
+  dsl <- "
+name = named_routes
+kind = ode
+params = k
+states = central
+outputs = cp
+bolus(oral) -> central
+infusion(iv) -> central
+dx(central) = -k * central
+out(cp) = central ~ continuous()
+"
+
+  model <- PM_model$from_dsl(
+    dsl,
+    pri = list(k = ab(0.01, 2)),
+    err = list(cp = additive(1, c(1, 0, 0, 0))),
+    input_map = c(oral = 1L, iv = 2L),
+    quiet = TRUE
+  )
+
+  expect_identical(model$arg_list$input_map, c(oral = 1L, iv = 2L))
+  expect_identical(model$model_list$route_inputs$bolus, 1L)
+  expect_identical(model$model_list$route_inputs$infusion, 2L)
+  expect_true(any(vapply(model$input_remap, function(x) identical(x$to, "oral"), logical(1))))
+  expect_true(any(vapply(model$input_remap, function(x) identical(x$to, "iv"), logical(1))))
+  expect_true(any(vapply(model$input_remap, function(x) identical(x$to, "cp"), logical(1))))
+
+  data <- PM_data$new(
+    data.frame(
+      id = c("1", "1"), time = c(0, 1), evid = c(1L, 0L),
+      dose = c(100, NA), dur = c(0, NA), input = c(1L, NA),
+      out = c(NA, 80), outeq = c(NA, 1L)
+    ),
+    quiet = TRUE
+  )
+  simulated <- model$sim(data, matrix(0.2, nrow = 1), quiet = TRUE)
+  expect_equal(nrow(simulated), 1)
+  expect_equal(simulated$outeq, 1)
+
+  run_root <- withr::local_tempdir(pattern = "from-dsl-fit-")
+  fitted <- model$fit(
+    data = data, path = run_root, run = 1, cycles = 1, points = 5,
+    overwrite = TRUE, report = "none", quiet = TRUE
+  )
+  expect_s3_class(fitted, "PM_result")
+})
+
+testthat::test_that("PM_model$from_dsl validates Pmetrics settings", {
+  expect_error(
+    PM_model$from_dsl(
+      simple_dsl,
+      pri = list(k = ab(0.01, 2)),
+      err = list(cp = proportional(1, c(0.1, 0, 0, 0))),
+      quiet = TRUE
+    ),
+    "does not match the DSL parameters"
+  )
+
+  named_route_dsl <- gsub("input_1", "iv", simple_dsl, fixed = TRUE)
+  expect_error(
+    PM_model$from_dsl(
+      named_route_dsl,
+      pri = list(k = ab(0.01, 2), v = ab(1, 100)),
+      err = list(cp = proportional(1, c(0.1, 0, 0, 0))),
+      quiet = TRUE
+    ),
+    "input_map.*required"
+  )
+
+  mixed_route_dsl <- sub(
+    "infusion\\(input_1\\) -> central",
+    "bolus(input_1) -> central\ninfusion(iv) -> central",
+    simple_dsl
+  )
+  mixed_route_dsl <- sub("rate\\(input_1\\)", "rate(iv)", mixed_route_dsl)
+  mixed <- PM_model$from_dsl(
+    mixed_route_dsl,
+    pri = list(k = ab(0.01, 2), v = ab(1, 100)),
+    err = list(cp = proportional(1, c(0.1, 0, 0, 0))),
+    input_map = c(iv = 2L),
+    quiet = TRUE
+  )
+  expect_identical(mixed$arg_list$input_map, c(input_1 = 1L, iv = 2L))
+})
+
+testthat::test_that("DSL data mappings rewrite route and output labels", {
+  path <- tempfile(fileext = ".csv")
+  writeLines(
+    c(
+      "ID,EVID,TIME,DUR,DOSE,INPUT,OUT,OUTEQ",
+      "1,1,0,0,100,1,.,.",
+      "1,1,1,2,100,2,.,.",
+      "1,0,2,.,.,.,10,1"
+    ),
+    path
+  )
+
+  remap_input_csv(path, list(
+    list(kind = "bolus", from = 1L, to = "oral"),
+    list(kind = "infusion", from = 2L, to = "iv"),
+    list(kind = "output", from = 1L, to = "cp")
+  ))
+
+  mapped <- utils::read.csv(path, check.names = FALSE, colClasses = "character")
+  expect_identical(mapped$INPUT[1], "oral")
+  expect_identical(mapped$INPUT[2], "iv")
+  expect_identical(mapped$OUTEQ[3], "cp")
+})
+
+testthat::test_that("DSL models can be rebuilt", {
+  model <- PM_model$from_dsl(
+    simple_dsl,
+    pri = list(k = ab(0.01, 2), v = ab(1, 100)),
+    err = list(cp = proportional(1, c(0.1, 0, 0, 0))),
+    quiet = TRUE
+  )
+
+  rebuilt <- PM_model$new(model)
+  expect_identical(rebuilt$dsl, model$dsl)
+  expect_identical(rebuilt$model_list$parameters, model$model_list$parameters)
+})

From 8c61ac982835633706925aa41db26319995caaac Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Wed, 22 Jul 2026 13:07:22 +0200
Subject: [PATCH 13/16] devtools::document()

---
 man/PM_model.Rd     | 22 ++++++++++++++--------
 man/fit.Rd          |  4 +++-
 man/simulate_all.Rd |  4 +++-
 man/simulate_one.Rd |  4 +++-
 4 files changed, 23 insertions(+), 11 deletions(-)

diff --git a/man/PM_model.Rd b/man/PM_model.Rd
index 5ab00903d..a30bfd97a 100755
--- a/man/PM_model.Rd
+++ b/man/PM_model.Rd
@@ -23,21 +23,23 @@ Model files will be deprecated in future versions of Pmetrics.
 Use \code{PM_model$from_dsl()} to create a model directly from pharmsol DSL text.
 The DSL defines the model structure. The \code{pri} and \code{err} arguments provide
 the Pmetrics parameter ranges and error models.
-
+}
 \section{Create a model from DSL}{
-\preformatted{PM_model$from_dsl(
+
+
+\if{html}{\out{<div class="sourceCode">}}\preformatted{PM_model$from_dsl(
   dsl,
   pri,
   err,
   input_map = NULL,
   solver = NULL,
   quiet = FALSE
-)}
+)
+}\if{html}{\out{</div>}}
 
 \code{dsl} is one character string containing the model source. \code{input_map} is an
 optional named integer vector that maps DSL route names to Pmetrics \code{INPUT}
 values. Routes named \code{input_1}, \code{input_2}, and so on are mapped automatically.
-}
 
 \strong{Some notes on the example at the end of this help page:}
 \itemize{
@@ -48,6 +50,7 @@ a \code{dontrun} block to avoid automatic compilation.
 \code{eqn = function(){three_comp_bolus}}.
 }
 }
+
 \examples{
 
 mod_list <- list(
@@ -106,9 +109,8 @@ models are no longer compiled to a binary. See the \code{dsl} field.}
     \item{\code{dsl}}{The model definition rendered as pharmsol DSL source, used by the
 Rust backend to JIT-compile the model at run time.}
 
-    \item{\code{input_remap}}{A list describing any data input remapping required by
-the DSL model (used when an input drives both a bolus and an infusion
-route). Each element is a list with \code{kind}, \code{from}, and \code{to}.}
+    \item{\code{input_remap}}{A list describing data label changes required by the
+DSL model. Each element is a list with \code{kind}, \code{from}, and \code{to}.}
   }
   \if{html}{\out{</div>}}
 }
@@ -184,7 +186,9 @@ Again, all R code will be converted to lowercase prior to translation into Rust.
   out = NULL,
   err = NULL,
   solver = NULL,
-  ...
+  ...,
+  .dsl = NULL,
+  .input_map = NULL
 )}
     \if{html}{\out{</div>}}
   }
@@ -458,6 +462,8 @@ for 3 outputs with the same error model:
 Supported values are "BDF", "TRBDF2", "ESDIRK34", and "TSIT45".
 This is ignored for analytical library models.}
       \item{\code{...}}{Not currently used.}
+      \item{\code{.dsl}}{Internal DSL source used by \code{PM_model$from_dsl()}.}
+      \item{\code{.input_map}}{Internal route mapping used by \code{PM_model$from_dsl()}.}
     }
     \if{html}{\out{</div>}}
   }
diff --git a/man/fit.Rd b/man/fit.Rd
index 3237dc67c..5ad546deb 100644
--- a/man/fit.Rd
+++ b/man/fit.Rd
@@ -4,7 +4,7 @@
 \alias{fit}
 \title{Fits the given model to the data using the provided settings.}
 \usage{
-fit(model_source, data, params, output_path)
+fit(model_source, data, params, output_path, solver = NULL)
 }
 \arguments{
 \item{model_source}{Model definition written in the pharmsol DSL.}
@@ -14,6 +14,8 @@ fit(model_source, data, params, output_path)
 \item{params}{List of fitting parameters.}
 
 \item{output_path}{Path to save the fitting results.}
+
+\item{solver}{Optional ODE solver name.}
 }
 \value{
 Result of the fitting process.
diff --git a/man/simulate_all.Rd b/man/simulate_all.Rd
index 383e6e4bd..9a36405bb 100644
--- a/man/simulate_all.Rd
+++ b/man/simulate_all.Rd
@@ -4,7 +4,7 @@
 \alias{simulate_all}
 \title{Simulates all subjects in the data set using the given model.}
 \usage{
-simulate_all(data_path, model_source, theta)
+simulate_all(data_path, model_source, theta, solver = NULL)
 }
 \arguments{
 \item{data_path}{Path to the data file.}
@@ -12,6 +12,8 @@ simulate_all(data_path, model_source, theta)
 \item{model_source}{Model definition written in the pharmsol DSL.}
 
 \item{theta}{Data frame of support points.}
+
+\item{solver}{Optional ODE solver name.}
 }
 \value{
 Simulation results.
diff --git a/man/simulate_one.Rd b/man/simulate_one.Rd
index c6c658a62..830f59496 100644
--- a/man/simulate_one.Rd
+++ b/man/simulate_one.Rd
@@ -4,7 +4,7 @@
 \alias{simulate_one}
 \title{Simulates the first subject in the data set using the given model.}
 \usage{
-simulate_one(data_path, model_source, spp)
+simulate_one(data_path, model_source, spp, solver = NULL)
 }
 \arguments{
 \item{data_path}{Path to the data file.}
@@ -12,6 +12,8 @@ simulate_one(data_path, model_source, spp)
 \item{model_source}{Model definition written in the pharmsol DSL.}
 
 \item{spp}{One support point as a numeric vector.}
+
+\item{solver}{Optional ODE solver name.}
 }
 \value{
 Simulation results.

From 2096859f5c195e2b27290408dc36fed15ec64a46 Mon Sep 17 00:00:00 2001
From: Markus <66058642+mhovd@users.noreply.github.com>
Date: Wed, 22 Jul 2026 13:19:14 +0200
Subject: [PATCH 14/16] Fix failing tests

---
 R/PM_sim.R | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/R/PM_sim.R b/R/PM_sim.R
index 95fd83651..7c55fe4db 100755
--- a/R/PM_sim.R
+++ b/R/PM_sim.R
@@ -1043,7 +1043,14 @@ PM_sim <- R6::R6Class(
         
         # PARAMETER LIMITS --------------------------------------------------------
         if (all(is.null(limits))) { # limits are omitted altogether
-          parLimits <- tibble::tibble(par = 1:npar, min = rep(-Inf, npar), max = rep(Inf, npar))
+          # use the parameter names (not positional indices) so that limits can
+          # be matched to parameters by name in generate_multimodal_samples()
+          par_names <- if (useTheta) {
+            setdiff(names(poppar$popPoints), "prob")
+          } else {
+            names(poppar$popMean)
+          }
+          parLimits <- tibble::tibble(par = par_names, min = rep(-Inf, npar), max = rep(Inf, npar))
         } else if (!any(is.na(limits)) & is.vector(limits)) { # no limit is NA and specified as vector of length 1 or 2
           # so first check to make sure poppar is a PM_final_data object
           if (!inherits(poppar, "PM_final_data")) {

From d27d9f7250d7b4146a7f89b54c10b12511c2b6ce Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Wed, 22 Jul 2026 22:55:38 +0000
Subject: [PATCH 15/16] ci: preload libgomp for pkgdown build job

---
 .github/workflows/pkgdown.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml
index de4be4c79..c51828ed7 100644
--- a/.github/workflows/pkgdown.yaml
+++ b/.github/workflows/pkgdown.yaml
@@ -27,6 +27,7 @@ jobs:
       PAK_FORCE_SOURCE_INSTALL: true
       PAK_IGNORE_PLATFORM: true
       GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+      LD_PRELOAD: /usr/lib/x86_64-linux-gnu/libgomp.so.1
     steps:
       - uses: actions/checkout@v7
 

From c8edfba5281558927e8f8afd25a4c0c9ca0132c3 Mon Sep 17 00:00:00 2001
From: Michael Neely <mneely@usc.edu>
Date: Wed, 22 Jul 2026 16:32:21 -0700
Subject: [PATCH 16/16] fix: addressing build errors

---
 .github/workflows/pkgdown.yaml | 1 -
 src/rust/Cargo.toml            | 2 +-
 src/rust/src/executor.rs       | 2 +-
 3 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml
index c51828ed7..de4be4c79 100644
--- a/.github/workflows/pkgdown.yaml
+++ b/.github/workflows/pkgdown.yaml
@@ -27,7 +27,6 @@ jobs:
       PAK_FORCE_SOURCE_INSTALL: true
       PAK_IGNORE_PLATFORM: true
       GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
-      LD_PRELOAD: /usr/lib/x86_64-linux-gnu/libgomp.so.1
     steps:
       - uses: actions/checkout@v7
 
diff --git a/src/rust/Cargo.toml b/src/rust/Cargo.toml
index a8fa60b20..9230a3c3a 100755
--- a/src/rust/Cargo.toml
+++ b/src/rust/Cargo.toml
@@ -15,4 +15,4 @@ rayon = "1.12.0"
 anyhow = "1.0.103"
 tracing = "0.1.44"
 tracing-subscriber = "0.3.23"
-mimalloc = "0.1.43"
+mimalloc = { version = "0.1.43", features = ["local_dynamic_tls"] }
diff --git a/src/rust/src/executor.rs b/src/rust/src/executor.rs
index 995f529a7..38a6d8531 100644
--- a/src/rust/src/executor.rs
+++ b/src/rust/src/executor.rs
@@ -2,7 +2,7 @@ use crate::settings::{settings, RunConfig};
 use crate::simulation::SimulationRow;
 
 use extendr_api::List;
-use pharmsol::dsl::{
+use pmcore::prelude::pharmsol::dsl::{
     compile_module_source_to_runtime, CompiledRuntimeModel, RuntimeCompilationTarget,
 };
 use pmcore::prelude::{simulator::Prediction, *};