set default for type

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: performance
 Title: Assessment of Regression Models Performance
-Version: 0.10.3.6
+Version: 0.10.3.7
 Authors@R: 
     c(person(given = "Daniel",
              family = "Lüdecke",

NEWS.md

@@ -15,6 +15,8 @@
 
 * `check_predictions()` gains a `type` argument, which is passed down to the
   `plot()` method to change plot-type (density or discrete dots/intervals).
+  By default, `type` is set to `"default"` for models without discrete outcomes,
+  and else `type = "discrete_interval"`.
 
 * `performance_accuracy()` now includes confidence intervals, and reports those
   by default (the standard error is no longer reported, but still included).

R/check_model.R

@@ -206,6 +206,12 @@ check_model.default <- function(x,
     insight::format_error(paste0("`check_model()` not implemented for models of class `", class(x)[1], "` yet."))
   }
 
+  # try to find sensible default for "type" argument
+  suggest_dots <- (minfo$is_bernoulli || minfo$is_count || minfo$is_ordinal || minfo$is_categorical || minfo$is_multinomial)
+  if (missing(type) && suggest_dots) {
+    type <- "discrete_interval"
+  }
+
   # set default for show_dots, based on "model size"
   if (is.null(show_dots)) {
     n <- .safe(insight::n_obs(x))

R/check_predictions.R

@@ -28,10 +28,10 @@
 #'   default used here is `"nrd"` (which seems to give more plausible results
 #'   for non-Gaussian models). When problems with plotting occur, try to change
 #'   to a different value.
-#' @param type Plot type for the posterior predictive checks plot. Can be `"density"`
-#' (default), `"discrete_dots"`, `"discrete_interval"` or `"discrete_both"` (the
-#' `discrete_*` options are appropriate for models with discrete - binary, integer
-#' or ordinal etc. - outcomes).
+#' @param type Plot type for the posterior predictive checks plot. Can be `"density"`,
+#' `"discrete_dots"`, `"discrete_interval"` or `"discrete_both"` (the `discrete_*`
+#' options are appropriate for models with discrete - binary, integer or ordinal
+#' etc. - outcomes).
 #' @param verbose Toggle warnings.
 #' @param ... Passed down to `simulate()`.
 #'
@@ -108,6 +108,12 @@ check_predictions.default <- function(object,
   # retrieve model information
   minfo <- insight::model_info(object, verbose = FALSE)
 
+  # try to find sensible default for "type" argument
+  suggest_dots <- (minfo$is_bernoulli || minfo$is_count || minfo$is_ordinal || minfo$is_categorical || minfo$is_multinomial)
+  if (missing(type) && suggest_dots) {
+    type <- "discrete_interval"
+  }
+
   # args
   type <- match.arg(type, choices = c("density", "discrete_dots", "discrete_interval", "discrete_both"))