RD

Author: strengejacke

R/plot.check_collinearity.R

@@ -4,6 +4,7 @@
 #'
 #' @inheritParams data_plot
 #' @inheritParams plot.see_check_normality
+#' @inheritParams print.see_performance_pp_check
 #'
 #' @return A ggplot2-object.
 #'

R/plot.check_heteroscedasticity.R

@@ -5,6 +5,7 @@
 #'
 #' @inheritParams data_plot
 #' @inheritParams plot.see_check_normality
+#' @inheritParams print.see_performance_pp_check
 #'
 #' @return A ggplot2-object.
 #'

R/plot.check_normality.R

@@ -23,6 +23,7 @@
 #' axis and plot titles.
 #' @inheritParams data_plot
 #' @inheritParams plot.see_bayesfactor_parameters
+#' @inheritParams print.see_performance_pp_check
 #'
 #' @return A ggplot2-object.
 #'

R/plot.check_outliers.R

@@ -29,6 +29,7 @@
 #' @param verbose Logical. If `TRUE` (default), prints a summary list of outliers.
 #' @inheritParams data_plot
 #' @inheritParams plot.see_check_normality
+#' @inheritParams print.see_performance_pp_check
 #'
 #' @details When using `type = "scree"`, the function will provide a
 #' scree-style distance plot that highlights two types of outliers.

R/plot.performance_simres.R

@@ -43,7 +43,6 @@ plot.see_performance_simres <- function(
   colors = c("#3aaf85", "#1b6ca8"),
   detrend = FALSE,
   transform = NULL,
-  style = theme_lucid,
   ...
 ) {
   # need DHARMa to be installed