diff --git a/DESCRIPTION b/DESCRIPTION
index 18d83e7..27086f0 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -31,7 +31,7 @@ Imports:
 Suggests:
     bayesplot (>= 1.16.0),
     brms (>= 2.23.0),
-    cmdstanr (>= 0.8.1),
+    cmdstanr (>= 0.9.0),
     iwmm (>= 0.0.1),
     nimble (>= 1.4.3),
     philentropy (>= 0.10.0),
@@ -48,7 +48,7 @@ VignetteBuilder: quarto
 Additional_repositories:
     https://topipa.r-universe.dev,
     https://stan-dev.r-universe.dev
-URL: https://mc-stan.org/priorsense/
+URL: https://mc-stan.org/priorsense/, https://discourse.mc-stan.org/
 BugReports: https://github.com/stan-dev/priorsense/issues
 Config/Needs/website: quarto
 Config/roxygen2/version: 8.1.0
diff --git a/data-raw/fit_univariate_normal_nimble.R b/data-raw/fit_univariate_normal_nimble.R
index af2a608..23c02f0 100644
--- a/data-raw/fit_univariate_normal_nimble.R
+++ b/data-raw/fit_univariate_normal_nimble.R
@@ -36,7 +36,7 @@ fit <- runMCMC(
     niter = 20000,
     nburnin = 5000,
     nchains = 4,
-    thin = 5,
+    thin = 15,
     setSeed = c(123, 456, 789, 101112),
     samplesAsCodaMCMC = FALSE
 )
diff --git a/inst/extdata/univariate_normal_nimble.RDS b/inst/extdata/univariate_normal_nimble.RDS
index 1504e21..50ecb12 100644
Binary files a/inst/extdata/univariate_normal_nimble.RDS and b/inst/extdata/univariate_normal_nimble.RDS differ
diff --git a/vignettes/priorsense_with_nimble.qmd b/vignettes/priorsense_with_nimble.qmd
index cae9423..8d3e49e 100644
--- a/vignettes/priorsense_with_nimble.qmd
+++ b/vignettes/priorsense_with_nimble.qmd
@@ -18,10 +18,17 @@ options(priorsense.plot_help_text = FALSE)
 ```{r}
 #| message: false
 #| warning: false
+#| eval: false
 library(nimble)
 library(priorsense)
 ```
 
+```{r}
+#| message: false
+#| warnings: false
+#| echo: false
+library(priorsense)
+```
 
 `priorsense` is compatible with models fit with `nimble`
 
@@ -48,6 +55,7 @@ Instantiate and compile the model as usual.
 #| message: false
 #| warning: false
 #| results: false
+#| eval: false
 
 inits <- list(
   mu = 0,
@@ -102,7 +110,7 @@ fit <- runMCMC(
   niter = 20000,
   nburnin = 5000,
   nchains = 4,
-  thin = 5,
+  thin = 15,
   setSeed = c(123, 456, 789, 101112),
   samplesAsCodaMCMC = TRUE # alternatively, coerce the output using `posterior::as_draws_df`
 )