diff --git a/R/helpers_easystats.R b/R/helpers_easystats.R
index 987c904a..8de0f357 100644
--- a/R/helpers_easystats.R
+++ b/R/helpers_easystats.R
@@ -26,7 +26,7 @@ tidy_model_parameters <- function(model, ...) {
     df_r2 <- performance::r2_bayes(model, average = TRUE, verbose = FALSE, ci = stats_df$conf.level[[1]]) %>%
       as_tibble() %>%
       standardize_names(style = "broom") %>%
-      rename("estimate" = "r.squared") %>%
+      rename(estimate = r.squared) %>%
       filter(if_any(matches("component"), ~ (.x == "conditional")))
 
     # remove estimates and CIs and use R2 data frame instead
diff --git a/R/long_to_wide_converter.R b/R/long_to_wide_converter.R
index 8481a918..292303ed 100644
--- a/R/long_to_wide_converter.R
+++ b/R/long_to_wide_converter.R
@@ -90,7 +90,7 @@ long_to_wide_converter <- function(data,
     ungroup() %>%
     nest_by(.rowid, .key = "nested_data") %>%
     filter(sum(is.na(nested_data)) == 0L) %>%
-    tidyr::unnest(cols = c(nested_data))
+    tidyr::unnest(cols = nested_data)
 
   # convert to wide?
   if (spread && paired) data %<>% tidyr::pivot_wider(names_from = {{ x }}, values_from = {{ y }})
diff --git a/R/tidy_model_expressions.R b/R/tidy_model_expressions.R
index 74470137..3247d3bf 100644
--- a/R/tidy_model_expressions.R
+++ b/R/tidy_model_expressions.R
@@ -45,7 +45,7 @@ tidy_model_expressions <- function(data,
   # convert the necessary columns to character type for expression
   df <- data %>%
     filter(if_all(
-      .cols = c(matches("estimate|statistic|std.error|p.value")),
+      .cols = matches("estimate|statistic|std.error|p.value"),
       .fns = Negate(is.na)
     )) %>%
     .data_to_char(k)