Deploying to gh-pages from @ 60f012d 🚀

Author: jgabry

dev/articles/loo2-moment-matching.html

@@ -154,7 +154,7 @@ print(fit, pars = "beta")
     beta[2] -0.57       0 0.02 -0.62 -0.59 -0.57 -0.55 -0.52  2467    1
     beta[3] -0.31       0 0.04 -0.38 -0.34 -0.32 -0.29 -0.24  2000    1
 
-    Samples were drawn using NUTS(diag_e) at Tue Apr  7 20:24:34 2026.
+    Samples were drawn using NUTS(diag_e) at Tue Apr  7 23:07:11 2026.
     For each parameter, n_eff is a crude measure of effective sample size,
     and Rhat is the potential scale reduction factor on split chains (at 
     convergence, Rhat=1).

dev/articles/loo2-moment-matching.md

@@ -215,6 +215,7 @@ of predictive distributions or pseudo-BMA weighting.
   [`print(`*`<psis_loo_ap>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   [`print(`*`<psis>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   [`print(`*`<importance_sampling>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
+  [`print(`*`<kfold>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   : Print methods
 
 - [`nobs(`*`<psis_loo_ss>`*`)`](https://mc-stan.org/loo/dev/reference/nobs.psis_loo_ss.md)

dev/llms.txt

@@ -11,7 +11,7 @@ articles:
   loo2-non-factorized: loo2-non-factorized.html
   loo2-weights: loo2-weights.html
   loo2-with-rstan: loo2-with-rstan.html
-last_built: 2026-04-07T19:39Z
+last_built: 2026-04-07T22:19Z
 urls:
   reference: https://mc-stan.org/loo/reference
   article: https://mc-stan.org/loo/articles

dev/pkgdown.yml

@@ -139,8 +139,8 @@ fit <- stan_glm(kid_score ~ mom_hs + mom_iq, data = kidiq)
 #> 
 #> SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
 #> Chain 1: 
-#> Chain 1: Gradient evaluation took 2.7e-05 seconds
-#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
+#> Chain 1: Gradient evaluation took 2.4e-05 seconds
+#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.
 #> Chain 1: Adjust your expectations accordingly!
 #> Chain 1: 
 #> Chain 1: 
@@ -157,15 +157,15 @@ fit <- stan_glm(kid_score ~ mom_hs + mom_iq, data = kidiq)
 #> Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
 #> Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
 #> Chain 1: 
-#> Chain 1:  Elapsed Time: 0.032 seconds (Warm-up)
-#> Chain 1:                0.061 seconds (Sampling)
-#> Chain 1:                0.093 seconds (Total)
+#> Chain 1:  Elapsed Time: 0.033 seconds (Warm-up)
+#> Chain 1:                0.057 seconds (Sampling)
+#> Chain 1:                0.09 seconds (Total)
 #> Chain 1: 
 #> 
 #> SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
 #> Chain 2: 
-#> Chain 2: Gradient evaluation took 1.2e-05 seconds
-#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
+#> Chain 2: Gradient evaluation took 9e-06 seconds
+#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.
 #> Chain 2: Adjust your expectations accordingly!
 #> Chain 2: 
 #> Chain 2: 
@@ -182,15 +182,15 @@ fit <- stan_glm(kid_score ~ mom_hs + mom_iq, data = kidiq)
 #> Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
 #> Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
 #> Chain 2: 
-#> Chain 2:  Elapsed Time: 0.033 seconds (Warm-up)
-#> Chain 2:                0.063 seconds (Sampling)
-#> Chain 2:                0.096 seconds (Total)
+#> Chain 2:  Elapsed Time: 0.034 seconds (Warm-up)
+#> Chain 2:                0.059 seconds (Sampling)
+#> Chain 2:                0.093 seconds (Total)
 #> Chain 2: 
 #> 
 #> SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
 #> Chain 3: 
-#> Chain 3: Gradient evaluation took 1.2e-05 seconds
-#> Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
+#> Chain 3: Gradient evaluation took 1.1e-05 seconds
+#> Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
 #> Chain 3: Adjust your expectations accordingly!
 #> Chain 3: 
 #> Chain 3: 
@@ -208,14 +208,14 @@ fit <- stan_glm(kid_score ~ mom_hs + mom_iq, data = kidiq)
 #> Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
 #> Chain 3: 
 #> Chain 3:  Elapsed Time: 0.038 seconds (Warm-up)
-#> Chain 3:                0.062 seconds (Sampling)
-#> Chain 3:                0.1 seconds (Total)
+#> Chain 3:                0.058 seconds (Sampling)
+#> Chain 3:                0.096 seconds (Total)
 #> Chain 3: 
 #> 
 #> SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
 #> Chain 4: 
-#> Chain 4: Gradient evaluation took 1.2e-05 seconds
-#> Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
+#> Chain 4: Gradient evaluation took 1e-05 seconds
+#> Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.
 #> Chain 4: Adjust your expectations accordingly!
 #> Chain 4: 
 #> Chain 4: 
@@ -233,8 +233,8 @@ fit <- stan_glm(kid_score ~ mom_hs + mom_iq, data = kidiq)
 #> Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
 #> Chain 4: 
 #> Chain 4:  Elapsed Time: 0.038 seconds (Warm-up)
-#> Chain 4:                0.062 seconds (Sampling)
-#> Chain 4:                0.1 seconds (Total)
+#> Chain 4:                0.061 seconds (Sampling)
+#> Chain 4:                0.099 seconds (Total)
 #> Chain 4: 
 ypred1 <- posterior_predict(fit)
 ypred2 <- posterior_predict(fit)

dev/reference/crps.html

@@ -129,6 +129,7 @@ of predictive distributions or pseudo-BMA weighting.
   [`print(`*`<psis_loo_ap>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   [`print(`*`<psis>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   [`print(`*`<importance_sampling>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
+  [`print(`*`<kfold>`*`)`](https://mc-stan.org/loo/dev/reference/print.loo.md)
   : Print methods
 
 - [`nobs(`*`<psis_loo_ss>`*`)`](https://mc-stan.org/loo/dev/reference/nobs.psis_loo_ss.md)