diff --git a/R/bayesfactor_parameters.R b/R/bayesfactor_parameters.R
index 1652bdac5..baf075e13 100644
--- a/R/bayesfactor_parameters.R
+++ b/R/bayesfactor_parameters.R
@@ -109,15 +109,16 @@
 #'
 #' @examples
 #' library(bayestestR)
+#' if (require("logspline")) {
+#'   prior <- distribution_normal(1000, mean = 0, sd = 1)
+#'   posterior <- distribution_normal(1000, mean = .5, sd = .3)
+#'   bayesfactor_parameters(posterior, prior)
+#' }
 #'
-#' prior <- distribution_normal(1000, mean = 0, sd = 1)
-#' posterior <- distribution_normal(1000, mean = .5, sd = .3)
-#'
-#' bayesfactor_parameters(posterior, prior)
 #' \dontrun{
 #' # rstanarm models
 #' # ---------------
-#' if (require("rstanarm") && require("emmeans")) {
+#' if (require("rstanarm") && require("emmeans") && require("logspline")) {
 #'   contrasts(sleep$group) <- contr.bayes # see vingette
 #'   stan_model <- stan_lmer(extra ~ group + (1 | ID), data = sleep)
 #'   bayesfactor_parameters(stan_model)
diff --git a/man/bayesfactor_parameters.Rd b/man/bayesfactor_parameters.Rd
index fa257622b..83060ba86 100644
--- a/man/bayesfactor_parameters.Rd
+++ b/man/bayesfactor_parameters.Rd
@@ -246,15 +246,16 @@ null-model) (\cite{Wetzels et al. 2011}).
 
 \examples{
 library(bayestestR)
+if (require("logspline")) {
+  prior <- distribution_normal(1000, mean = 0, sd = 1)
+  posterior <- distribution_normal(1000, mean = .5, sd = .3)
+  bayesfactor_parameters(posterior, prior)
+}
 
-prior <- distribution_normal(1000, mean = 0, sd = 1)
-posterior <- distribution_normal(1000, mean = .5, sd = .3)
-
-bayesfactor_parameters(posterior, prior)
 \dontrun{
 # rstanarm models
 # ---------------
-if (require("rstanarm") && require("emmeans")) {
+if (require("rstanarm") && require("emmeans") && require("logspline")) {
   contrasts(sleep$group) <- contr.bayes # see vingette
   stan_model <- stan_lmer(extra ~ group + (1 | ID), data = sleep)
   bayesfactor_parameters(stan_model)