Deploying to gh-pages from @ df69910 🚀

Author: aloctavodia

dev/articles/latent.html

@@ -316,7 +316,7 @@ print(time_lat)
 ```
 
        user  system elapsed 
-      1.093   0.316   1.051 
+      1.064   0.344   1.017 
 
 The message telling that `<refmodel>$dis` consists of only `NA`s will
 not concern us here because we will only focus on response-scale
@@ -423,7 +423,7 @@ print(time_trad)
 ```
 
        user  system elapsed 
-      4.306   0.350   4.255 
+      4.208   0.342   4.151 
 
 ``` r
 ( gg_trad <- plot(vs_trad, stats = "gmpd", deltas = TRUE) )
@@ -795,15 +795,15 @@ cvvs_weib <- cv_varsel(
     Warning: Some (2 / 500) Pareto k's for the reference model's PSIS-LOO weights
     are > 0.7.
 
-    Warning: In the recalculation of the latent response values, some (6 / 500) expectation-specific Pareto k-values are > 0.7.
+    Warning: In the recalculation of the latent response values, some (7 / 500) expectation-specific Pareto k-values are > 0.7.
     In general, we recommend K-fold CV in this case.
 
     Warning: Some Pareto k diagnostic values are too high. See help('pareto-k-diagnostic') for details.
 
     Warning: Some (2 / 500) Pareto k's for the reference model's PSIS-LOO weights
     are > 0.7.
 
-    Warning: In the recalculation of the latent response values, some (6 / 500) expectation-specific Pareto k-values are > 0.7.
+    Warning: In the recalculation of the latent response values, some (7 / 500) expectation-specific Pareto k-values are > 0.7.
     In general, we recommend K-fold CV in this case.
 
     Using standard importance sampling (SIS) due to a small number of clusters.
@@ -998,18 +998,18 @@ cvvs_lnorm <- cv_varsel(
 
     Warning: Some Pareto k diagnostic values are too high. See help('pareto-k-diagnostic') for details.
 
-    Warning: Some (4 / 500) Pareto k's for the reference model's PSIS-LOO weights
+    Warning: Some (3 / 500) Pareto k's for the reference model's PSIS-LOO weights
     are > 0.7.
 
-    Warning: In the recalculation of the latent response values, some (9 / 500) expectation-specific Pareto k-values are > 0.7.
+    Warning: In the recalculation of the latent response values, some (7 / 500) expectation-specific Pareto k-values are > 0.7.
     In general, we recommend K-fold CV in this case.
 
     Warning: Some Pareto k diagnostic values are too high. See help('pareto-k-diagnostic') for details.
 
-    Warning: Some (4 / 500) Pareto k's for the reference model's PSIS-LOO weights
+    Warning: Some (3 / 500) Pareto k's for the reference model's PSIS-LOO weights
     are > 0.7.
 
-    Warning: In the recalculation of the latent response values, some (9 / 500) expectation-specific Pareto k-values are > 0.7.
+    Warning: In the recalculation of the latent response values, some (7 / 500) expectation-specific Pareto k-values are > 0.7.
     In general, we recommend K-fold CV in this case.
 
     Using standard importance sampling (SIS) due to a small number of clusters.

dev/articles/latent.md

@@ -4,7 +4,7 @@ pkgdown_sha: ~
 articles:
   latent: latent.html
   projpred: projpred.html
-last_built: 2025-12-01T08:43Z
+last_built: 2025-12-03T06:15Z
 urls:
   reference: https://mc-stan.org/projpred/reference
   article: https://mc-stan.org/projpred/articles