Fix CRAN note

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: bayestestR
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.14.0.1
+Version: 0.14.0.2
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",

NEWS.md

@@ -1,5 +1,9 @@
 # bayestestR (development version)
 
+## Bug fixes
+
+* Fixed warning in CRAN check results.
+
 # bayestestR 0.14.0
 
 ## Breaking Changes

R/estimate_density.R

@@ -20,15 +20,15 @@
 #' means that the x axis will be extended by `1/10` of the range of the data.
 #' @param select Character vector of column names. If `NULL` (the default), all
 #' numeric variables will be selected. Other arguments from
-#' [`datawizard::extract_column_names()`] (such as `exclude`) can also be used.
+#' `datawizard::extract_column_names()` (such as `exclude`) can also be used.
 #' @param by Optional character vector. If not `NULL` and input is a data frame,
 #' density estimation is performed for each group (subsets) indicated by `by`.
 #' See examples.
 #' @param at Deprecated in favour of `by`.
 #'
 #' @note There is also a [`plot()`-method](https://easystats.github.io/see/articles/bayestestR.html) implemented in the \href{https://easystats.github.io/see/}{\pkg{see}-package}.
 #'
 #' @examplesIf require("logspline") && require("KernSmooth") && require("mclust") && require("emmeans") && require("rstanarm") && require("brms")
 #' library(bayestestR)
 #'
 #' set.seed(1)
@@ -390,7 +390,7 @@
                                      extend_scale = 0.1,
                                      bw = "SJ",
                                      effects = c("fixed", "random", "all"),
                                      component = c("location", "all", "conditional", "smooth_terms", "sigma", "distributional", "auxiliary"),
                                      parameters = NULL,
                                      ...) {
   effects <- match.arg(effects)
@@ -584,7 +584,7 @@
 
   for (i in names(out)) {
     if (nrow(out[[i]]) == 0) {
       insight::format_warning(paste0("`", i, "`, or one of its groups specified in `by`, is empty and has no density information."))
     } else {
       out[[i]]$Parameter <- i
     }

vignettes/probability_of_direction.Rmd

@@ -1,6 +1,6 @@
 ---
 title: "Probability of Direction (pd)"
-output: 
+output:
   rmarkdown::html_vignette:
     toc: true
     fig_width: 10.08
@@ -10,7 +10,7 @@ vignette: >
   \usepackage[utf8]{inputenc}
   %\VignetteIndexEntry{Probability of Direction (pd)}
   %\VignetteEngine{knitr::rmarkdown}
-editor_options: 
+editor_options:
   chunk_output_type: console
 bibliography: bibliography.bib
 csl: apa.csl
@@ -98,10 +98,10 @@ dat <- transform(
 )
 ggplot(dat, aes(x = p_direction, y = p_value, color = effect_existence)) +
   geom_point2(alpha = 0.1) +
-  geom_segment(aes(x = 95, y = Inf, xend = 95, yend = 0.1), color = "black", linetype = "longdash") +
-  geom_segment(aes(x = -Inf, y = 0.1, xend = 95, yend = 0.1), color = "black", linetype = "longdash") +
-  geom_segment(aes(x = 97.5, y = Inf, xend = 97.5, yend = 0.05), color = "black", linetype = "dashed") +
-  geom_segment(aes(x = -Inf, y = 0.05, xend = 97.5, yend = 0.05), color = "black", linetype = "dashed") +
+  annotate("segment", x = 95, y = Inf, xend = 95, yend = 0.1, color = "black", linetype = "longdash") +
+  annotate("segment", x = -Inf, y = 0.1, xend = 95, yend = 0.1, color = "black", linetype = "longdash") +
+  annotate("segment", x = 97.5, y = Inf, xend = 97.5, yend = 0.05, color = "black", linetype = "dashed") +
+  annotate("segment", x = -Inf, y = 0.05, xend = 97.5, yend = 0.05, color = "black", linetype = "dashed") +
   theme_modern() +
   scale_y_reverse(breaks = c(0.05, round(seq(0, 1, length.out = 11), digits = 2))) +
   scale_x_continuous(breaks = c(95, 97.5, round(seq(50, 100, length.out = 6)))) +