diff --git a/R/rope.R b/R/rope.R
index a07726504..8158e6091 100644
--- a/R/rope.R
+++ b/R/rope.R
@@ -613,7 +613,7 @@ rope.sim <- function(x, range = "default", ci = 0.95, ci_method = "ETI", paramet
 .prepare_rope_df <- function(parms, range, ci, ci_method, verbose) {
   if (is.list(range)) {
     # check if list of values contains only valid values
-    .check_list_range(range, params)
+    .check_list_range(range, parms)
     # apply thresholds to each column
     tmp <- mapply(
       function(p, r) {
diff --git a/tests/testthat/test-bayesian_as_frequentist.R b/tests/testthat/test-bayesian_as_frequentist.R
index 8066f3483..0fafdbcb9 100644
--- a/tests/testthat/test-bayesian_as_frequentist.R
+++ b/tests/testthat/test-bayesian_as_frequentist.R
@@ -34,7 +34,7 @@ test_that("brms beta to freq", {
   skip_if_not_or_load_if_installed("betareg")
 
   set.seed(333)
-  m <- insight::download_model("brms_beta_1")
+  m <- suppressWarnings(insight::download_model("brms_beta_1"))
   data(FoodExpenditure, package = "betareg")
   m1 <- glmmTMB::glmmTMB(
     I(food / income) ~ income + (1 | persons),
@@ -56,7 +56,7 @@ test_that("ordbetareg to freq", {
 
   set.seed(333)
   data(sleepstudy, package = "lme4")
-  m <- insight::download_model("ordbetareg_1")
+  m <- suppressWarnings(insight::download_model("ordbetareg_1"))
   sleepstudy$y <- datawizard::normalize(sleepstudy$Reaction)
   m1 <- glmmTMB::glmmTMB(
     y ~ Days + (Days | Subject),