Prepare CRAN release

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: performance
 Title: Assessment of Regression Models Performance
-Version: 0.12.4.17
+Version: 0.13.0
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
@@ -160,4 +160,3 @@ Config/Needs/website:
     r-lib/pkgdown,
     easystats/easystatstemplate
 Config/rcmdcheck/ignore-inconsequential-notes: true
-Remotes: easystats/see

NEWS.md

@@ -1,4 +1,4 @@
-# performance 0.12.5
+# performance 0.13.0
 
 ## Breaking changes
 

R/binned_residuals.R

@@ -68,11 +68,10 @@
 #' # look at the data frame
 #' as.data.frame(result)
 #'
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
 #' \donttest{
 #' # plot
-#' if (require("see")) {
-#'   plot(result, show_dots = TRUE)
-#' }
+#' plot(result, show_dots = TRUE)
 #' }
 #'
 #' @export

R/check_collinearity.R

@@ -133,7 +133,7 @@
 #' m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
 #' check_collinearity(m)
 #'
-#' @examplesIf require("see")
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
 #' # plot results
 #' x <- check_collinearity(m)
 #' plot(x)
@@ -407,7 +407,7 @@
 }
 
 
 .check_collinearity <- function(x, component, ci = 0.95, verbose = TRUE) {
   v <- .safe(insight::get_varcov(x, component = component, verbose = FALSE))
 
   # sanity check

R/check_dag.R

@@ -119,7 +119,7 @@
 #'   Interpreting Confounder and Modifier Coefficients. American Journal of
 #'   Epidemiology, 177(4), 292–298. \doi{10.1093/aje/kws412}
 #'
-#' @examplesIf require("ggdag", quietly = TRUE) && require("dagitty", quietly = TRUE) && require("see", quietly = TRUE)
+#' @examplesIf all(insight::check_if_installed(c("ggdag", "dagitty", "see"), quietly = TRUE))
 #' # no adjustment needed
 #' check_dag(
 #'   y ~ x + b,

R/check_distribution.R

@@ -47,12 +47,12 @@ NULL
 #' There is a `plot()` method, which shows the probabilities of all predicted
 #' distributions, however, only if the probability is greater than zero.
 #'
-#' @examplesIf require("lme4") && require("parameters") && require("randomForest")
+#' @examplesIf all(insight::check_if_installed(c("lme4", "parameters", "randomForest"), quietly = TRUE))
 #' data(sleepstudy, package = "lme4")
 #' model <<- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
 #' check_distribution(model)
 #'
-#' @examplesIf require("see") && require("patchwork") && require("randomForest")
+#' @examplesIf all(insight::check_if_installed(c("see", "patchwork", "randomForest"), quietly = TRUE))
 #' plot(check_distribution(model))
 #'
 #' @export

R/check_heteroscedasticity.R

@@ -27,10 +27,9 @@
 #' check_heteroscedasticity(m)
 #'
 #' # plot results
-#' if (require("see")) {
-#'   x <- check_heteroscedasticity(m)
-#'   plot(x)
-#' }
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
+#' x <- check_heteroscedasticity(m)
+#' plot(x)
 #' @export
 check_heteroscedasticity <- function(x, ...) {
   UseMethod("check_heteroscedasticity")
@@ -53,7 +52,7 @@
   if (!info$is_linear) {
     msg <- "This Breusch-Pagan Test currently only works Gaussian models."
     if (info$is_count) {
       paste0(msg, " You may check your model for overdispersion or zero-inflation instead (see 'check_overdispersion()' and 'check_zeroinflation()').")
     }
     insight::format_alert(msg)
     return(NULL)

R/check_homogeneity.R

@@ -26,10 +26,9 @@
 #' check_homogeneity(model)
 #'
 #' # plot results
-#' if (require("see")) {
-#'   result <- check_homogeneity(model)
-#'   plot(result)
-#' }
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
+#' result <- check_homogeneity(model)
+#' plot(result)
 #' @export
 check_homogeneity <- function(x, method = c("bartlett", "fligner", "levene", "auto"), ...) {
   UseMethod("check_homogeneity")

R/check_normality.R

@@ -29,7 +29,7 @@
 #' standardized deviance residuals is shown (in line with changes in
 #' `plot.lm()` for R 4.3+).
 #'
-#' @examplesIf require("see")
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
 #' m <<- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
 #' check_normality(m)
 #'

R/check_outliers.R

@@ -335,7 +335,7 @@
 #' group_iris <- datawizard::data_group(iris, "Species")
 #' check_outliers(group_iris)
 #' # nolint start
-#' @examplesIf require("see") && require("bigutilsr") && require("loo") && require("MASS") && require("ICSOutlier") && require("ICS") && require("dbscan")
+#' @examplesIf all(insight::check_if_installed(c("bigutilsr", "MASS", "ICSOutlier", "ICS", "dbscan", "loo", "see"), quietly = TRUE))
 #' # nolint end
 #' \donttest{
 #' # You can also run all the methods

R/check_predictions.R

@@ -75,7 +75,7 @@
 #' - Gelman, A., Hill, J., and Vehtari, A. (2020). Regression and Other Stories.
 #'   Cambridge University Press.
 #'
-#' @examplesIf require("see")
+#' @examplesIf insight::check_if_installed("see", minimum_version = "0.9.1", quietly = TRUE)
 #' # linear model
 #' model <- lm(mpg ~ disp, data = mtcars)
 #' check_predictions(model)

tests/testthat/test-check_model.R

@@ -1,5 +1,5 @@
 skip_on_cran()
-skip_if_not_installed("see")
+skip_if_not_installed("see", minimum_version = "0.9.1")
 
 d <- data.frame(
   y = c(

tests/testthat/test-check_overdispersion.R

@@ -174,7 +174,7 @@ test_that("check_overdispersion, MASS::negbin", {
   expect_message(capture.output(print(out)), "Underdispersion detected")
 
   # check that plot works
-  skip_if_not_installed("see")
+  skip_if_not_installed("see", minimum_version = "0.9.1")
   expect_s3_class(plot(out), "ggplot")
 })