diff --git a/R/plot.R b/R/plot.R
index 98887ff..491774b 100644
--- a/R/plot.R
+++ b/R/plot.R
@@ -37,7 +37,7 @@
 #' @export
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' # Fit a model with complete rankings
 #' mod <- compute_sequentially(
 #'   complete_rankings,
diff --git a/R/trace_plot.R b/R/trace_plot.R
index 95eab9f..01f7be2 100644
--- a/R/trace_plot.R
+++ b/R/trace_plot.R
@@ -37,7 +37,7 @@
 #' \insertRef{10.1214/25-BA1564}{BayesMallowsSMC2}
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' # Fit a model with trace enabled
 #' mod <- compute_sequentially(
 #'   complete_rankings,
diff --git a/man/plot.BayesMallowsSMC2.Rd b/man/plot.BayesMallowsSMC2.Rd
index 994972b..ffcc6ef 100644
--- a/man/plot.BayesMallowsSMC2.Rd
+++ b/man/plot.BayesMallowsSMC2.Rd
@@ -47,7 +47,7 @@ reproducible if you set a seed before calling the function (e.g., with
 \code{set.seed()}).
 }
 \examples{
-\dontrun{
+\donttest{
 # Fit a model with complete rankings
 mod <- compute_sequentially(
   complete_rankings,
diff --git a/man/trace_plot.Rd b/man/trace_plot.Rd
index 9987945..bb20657 100644
--- a/man/trace_plot.Rd
+++ b/man/trace_plot.Rd
@@ -43,7 +43,7 @@ quantiles) of the posterior distribution at each timepoint, computed using
 the importance weights from the SMC algorithm.
 }
 \examples{
-\dontrun{
+\donttest{
 # Fit a model with trace enabled
 mod <- compute_sequentially(
   complete_rankings,