clarify msg

R/check_collinearity.R

@@ -410,7 +410,10 @@ check_collinearity.zerocount <- function(x,
   if (is.null(v)) {
     if (isTRUE(verbose)) {
       insight::format_alert(
-        sprintf("Could not extract the variance-covariance matrix for the %s component of the model.", component)
+        paste(
+          sprintf("Could not extract the variance-covariance matrix for the %s component of the model.", component),
+          "Please try to run `vcov(model)`, which may help identifying the problem."
+        )
       )
     }
     return(NULL)

R/check_model.R

@@ -192,12 +192,15 @@ check_model.default <- function(x,
       suppressWarnings(.check_assumptions_glm(x, minfo, verbose, ...))
     },
     error = function(e) {
-      NULL
+      e
     }
   )
 
-  if (is.null(ca)) {
-    insight::format_error(paste0("`check_model()` not implemented for models of class `", class(x)[1], "` yet."))
+  if (inherits(ca, c("error", "simpleError"))) {
+    insight::format_error(
+      paste("\n`check_model()` returned following error:", ca$message),
+      paste0("\nIf the error message does not help identifying your problem, another reason why `check_model()` failed might be that models of class `", class(x)[1], "` are not yet supported.") # nolint
+    )
   }
 
   # try to find sensible default for "type" argument

R/check_outliers.R

@@ -395,7 +395,12 @@ check_outliers.default <- function(x,
 
   # sanity check for date, POSIXt and difftime variables
   if (any(vapply(my_data, inherits, FUN.VALUE = logical(1), what = c("Date", "POSIXt", "difftime"))) && verbose) {
-    insight::format_alert("Date variables are not supported for outliers detection. These will be ignored.")
+    insight::format_alert(
+      paste(
+        "Date variables are not supported for outliers detection. These will be ignored.",
+        "Make sure any date variables are converted to numeric or factor {.b before} fitting the model."
+      )
+    )
   }
 
   # Remove non-numerics