diff --git a/DESCRIPTION b/DESCRIPTION
index b592a6a4f..4f72b5786 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: bayestestR
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.14.0.6
+Version: 0.14.0.7
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",
diff --git a/R/describe_posterior.R b/R/describe_posterior.R
index d238c23d9..80085750f 100644
--- a/R/describe_posterior.R
+++ b/R/describe_posterior.R
@@ -495,9 +495,9 @@ describe_posterior.default <- function(posterior, ...) {
   # column consist only of missing values, we remove those columns as well
 
   remove_columns <- ".rowid"
-  if (insight::n_unique(out$Effects, na.rm = TRUE) < 2) remove_columns <- c(remove_columns, "Effects")
-  if (insight::n_unique(out$Component, na.rm = TRUE) < 2) remove_columns <- c(remove_columns, "Component")
-  if (insight::n_unique(out$Response, na.rm = TRUE) < 2) remove_columns <- c(remove_columns, "Response")
+  if (insight::n_unique(out$Effects, remove_na = TRUE) < 2) remove_columns <- c(remove_columns, "Effects")
+  if (insight::n_unique(out$Component, remove_na = TRUE) < 2) remove_columns <- c(remove_columns, "Component")
+  if (insight::n_unique(out$Response, remove_na = TRUE) < 2) remove_columns <- c(remove_columns, "Response")
 
   # Restore columns order
   out <- datawizard::data_remove(out[order(out$.rowid), ], remove_columns, verbose = FALSE)