check_model() does not produce Uniformity of Residuals plot for binomial models

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: see
 Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
-Version: 0.8.5.6
+Version: 0.8.5.7
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
@@ -120,4 +120,3 @@ Config/testthat/edition: 3
 Config/testthat/parallel: true
 Config/Needs/website: easystats/easystatstemplate
 Config/rcmdcheck/ignore-inconsequential-notes: true
-Remotes: easystats/performance

NEWS.md

@@ -4,6 +4,11 @@
 
 - New `plot()` method for `performance::check_dag()`.
 
+## Bug fixes
+
+- Fixed issue in `plot()` for `performance::check_model()` when package *qqplotr*
+  is not installed.
+
 # see 0.8.5
 
 ## Major Changes

R/plot.performance_simres.R

@@ -12,9 +12,9 @@
 #'
 #' @return A ggplot2-object.
 #'
 #' @seealso See also the vignette about [`check_model()`](https://easystats.github.io/performance/articles/check_model.html).
 #'
 #' @examplesIf insight::check_if_installed("performance", "0.10.9.7") && require("glmmTMB") && require("qqplotr") && require("DHARMa")
 #' data(Salamanders, package = "glmmTMB")
 #' model <- glmmTMB::glmmTMB(
 #'   count ~ mined + spp + (1 | site),
@@ -45,6 +45,7 @@
                                         ...) {
   # need DHARMa to be installed
   insight::check_if_installed("DHARMa")
+  qqplotr_installed <- insight::check_if_installed("qqplotr", quietly = TRUE)
 
   # extract data, if from check_residuals
   if (inherits(x, "see_check_residuals")) {
@@ -56,12 +57,21 @@
     res <- stats::residuals(x)
     dp <- list(min = 0, max = 1, lower.tail = TRUE, log.p = FALSE)
     dp_band <- list(min = 0, max = 1)
-    dfun <- "unif"
+    # "distribution" argument has different handling in qqplotr
+    if (qqplotr_installed) {
+      dfun <- "unif"
+    } else {
+      dfun <- stats::qunif
+    }
   } else if (identical(transform, stats::qnorm)) {
     res <- stats::residuals(x, quantileFunction = stats::qnorm)
     dp <- list(mean = 0, sd = 1)
     dp_band <- list(mean = 0, sd = 1)
-    dfun <- "norm"
+    if (qqplotr_installed) {
+      dfun <- "norm"
+    } else {
+      dfun <- stats::qnorm
+    }
   } else if (is.character(transform)) {
     insight::format_error("`transform` must be a function, not a string value.")
   } else {
@@ -76,7 +86,7 @@
   )
 
   # when we have package qqplotr, we can add confidence bands
-  if (requireNamespace("qqplotr", quietly = TRUE)) {
+  if (qqplotr_installed) {
     qq_stuff <- list(
       qqplotr::stat_qq_band(
         distribution = dfun,