RK updates, including new example eyevoicespan with figures comparing…

.gitattributes

@@ -3,3 +3,5 @@
 *.RDs filter=lfs diff=lfs merge=lfs -text
 *.RDS filter=lfs diff=lfs merge=lfs -text
 *.rds filter=lfs diff=lfs merge=lfs -text
+*.pdf filter=lfs diff=lfs merge=lfs -text
+*.rda filter=lfs diff=lfs merge=lfs -text

_quarto.yml

@@ -110,6 +110,10 @@ website:
           contents:
           - examples/visual-attention/kwdyz11.qmd
           - examples/visual-attention/kkl15.qmd
+        - section: "Eye–Voice Span in Rapid Automatized Naming"
+          contents:
+          - examples/eyevoicespan/pylsk13.qmd
+          - examples/eyevoicespan/pylsk13_interactions.qmd
       - section: "Reference & Appendix"
         contents:
         - reference/useful_packages.qmd

contrasts/contrasts_kwdyz11.qmd

@@ -38,6 +38,7 @@ progress = false
 ```{julia}
 #| echo: false
 using SMLP2026: fit_or_restore
+using SMLP2026.RKUtils
 ```
 
 # A word of caution {#sec-caution}

examples/emotikon/fggk21.qmd

@@ -659,10 +659,6 @@ issingular(m2)
 
 Depending on the random number generator seed, the model may or may not be supported in the alternative parameterization of scores. The fixed-effects profile is not affected (see the model comparisons below).
 
-:::{.callout-caution}
-RK: The order of RE terms is critical. In formula `f2` the `zerocorr()` term must be placed last as shown. If it is placed first, School-related and Child-related CPs are estimated/reported (?) as zero. This was not the case for formula `m1`. Thus, it appears to be related to the `0`-intercepts in School and Child terms. Need a reprex.
-:::
-
 ```{julia}
 VarCorr(m2)
 ```