dontrun -> donttest

cf. easystats/easystats#380
easystats · Sep 19, 2023 · d555b2a · d555b2a
1 parent a117efb
commit d555b2a
Show file tree

Hide file tree

Showing 20 changed files with 20 additions and 20 deletions.
diff --git a/R/binned_residuals.R b/R/binned_residuals.R
@@ -49,7 +49,7 @@
 #' # look at the data frame
 #' as.data.frame(result)
 #'
-#' \dontrun{
+#' \donttest{
 #' # plot
 #' if (require("see")) {
 #'   plot(result, show_dots = TRUE)

diff --git a/R/check_convergence.R b/R/check_convergence.R
@@ -60,7 +60,7 @@
 #'
 #' check_convergence(model)
 #'
-#' \dontrun{
+#' \donttest{
 #' model <- suppressWarnings(glmmTMB::glmmTMB(
 #'   Sepal.Length ~ poly(Petal.Width, 4) * poly(Petal.Length, 4) +
 #'     (1 + poly(Petal.Width, 4) | Species),

diff --git a/R/check_model.R b/R/check_model.R
@@ -141,7 +141,7 @@
 #' @family functions to check model assumptions and and assess model quality
 #'
 #' @examplesIf require("lme4")
-#' \dontrun{
+#' \donttest{
 #' m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
 #' check_model(m)
 #'

diff --git a/R/check_multimodal.R b/R/check_multimodal.R
@@ -11,7 +11,7 @@
 #' @param ... Arguments passed to or from other methods.
 #'
 #' @examplesIf require("multimode") && require("mclust")
-#' \dontrun{
+#' \donttest{
 #' # Univariate
 #' x <- rnorm(1000)
 #' check_multimodal(x)

diff --git a/R/check_normality.R b/R/check_normality.R
@@ -35,7 +35,7 @@
 #' x <- check_normality(m)
 #' plot(x)
 #'
-#' \dontrun{
+#' \donttest{
 #' # QQ-plot
 #' plot(check_normality(m), type = "qq")
 #'

diff --git a/R/check_outliers.R b/R/check_outliers.R
@@ -299,7 +299,7 @@
 #' group_iris <- datawizard::data_group(iris, "Species")
 #' check_outliers(group_iris)
 #'
-#' \dontrun{
+#' \donttest{
 #' # You can also run all the methods
 #' check_outliers(data, method = "all")
 #'

diff --git a/R/model_performance.bayesian.R b/R/model_performance.bayesian.R
@@ -41,7 +41,7 @@
 #'   - **PCP**: percentage of correct predictions, see [performance_pcp()].
 #'
 #' @examplesIf require("rstanarm") && require("rstantools") && require("BayesFactor")
-#' \dontrun{
+#' \donttest{
 #' model <- suppressWarnings(rstanarm::stan_glm(
 #'   mpg ~ wt + cyl,
 #'   data = mtcars,

diff --git a/R/performance_score.R b/R/performance_score.R
@@ -40,7 +40,7 @@
 #' model <- glm(counts ~ outcome + treatment, family = poisson())
 #'
 #' performance_score(model)
-#' \dontrun{
+#' \donttest{
 #' data(Salamanders, package = "glmmTMB")
 #' model <- glmmTMB::glmmTMB(
 #'   count ~ spp + mined + (1 | site),

diff --git a/R/r2_bayes.R b/R/r2_bayes.R
@@ -73,7 +73,7 @@
 #'   r2_bayes(model)
 #' }
 #'
-#' \dontrun{
+#' \donttest{
 #' if (require("brms")) {
 #'   model <- suppressWarnings(brms::brm(
 #'     mpg ~ wt + cyl,

diff --git a/R/r2_somers.R b/R/r2_somers.R
@@ -8,7 +8,7 @@
 #' @return A named vector with the R2 value.
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' if (require("correlation") && require("Hmisc")) {
 #'   model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial")
 #'   r2_somers(model)

diff --git a/man/binned_residuals.Rd b/man/binned_residuals.Rd
diff --git a/man/check_convergence.Rd b/man/check_convergence.Rd
diff --git a/man/check_model.Rd b/man/check_model.Rd
diff --git a/man/check_multimodal.Rd b/man/check_multimodal.Rd
diff --git a/man/check_normality.Rd b/man/check_normality.Rd
diff --git a/man/check_outliers.Rd b/man/check_outliers.Rd
diff --git a/man/model_performance.stanreg.Rd b/man/model_performance.stanreg.Rd
diff --git a/man/performance_score.Rd b/man/performance_score.Rd
diff --git a/man/r2_bayes.Rd b/man/r2_bayes.Rd
diff --git a/man/r2_somers.Rd b/man/r2_somers.Rd