docs

R/check_model.R

@@ -2,11 +2,13 @@
 #' @name check_model
 #'
 #' @description
-#'
 #' Visual check of various model assumptions (normality of residuals, normality
 #' of random effects, linear relationship, homogeneity of variance,
 #' multicollinearity).
 #'
+#' If `check_model()` doesn't work as expected, try setting `verbose = TRUE` to
+#' get hints about possible problems.
+#'
 #' @param x A model object.
 #' @param dot_size,line_size Size of line and dot-geoms.
 #' @param base_size,title_size,axis_title_size Base font size for axis and plot titles.
@@ -161,6 +163,9 @@
 #' look at the `check` argument and see if some of the model checks could be
 #' skipped, which also increases performance.
 #'
+#' If `check_model()` doesn't work as expected, try setting `verbose = TRUE` to
+#' get hints about possible problems.
+#'
 #' @family functions to check model assumptions and and assess model quality
 #'
 #' @examplesIf require("lme4")

R/check_predictions.R

@@ -11,8 +11,8 @@
 #'   of frequentist models (e.g., `lm`, `merMod`, `glmmTMB`, ...). For Bayesian
 #'   models, the model is passed to [`bayesplot::pp_check()`].
 #'
-#'   If `check_model()` doesn't work as expected, try setting `verbose = TRUE`
-#'   to get hints about possible problems.
+#'   If `check_predictions()` doesn't work as expected, try setting
+#'   `verbose = TRUE` to get hints about possible problems.
 #'
 #' @param object A statistical model.
 #' @param iterations The number of draws to simulate/bootstrap.
@@ -56,8 +56,8 @@
 #' package that imports **bayesplot** such as **rstanarm** or **brms**)
 #' is loaded, `pp_check()` is also available as an alias for `check_predictions()`.
 #'
-#' If `check_model()` doesn't work as expected, try setting `verbose = TRUE` to
-#' get hints about possible problems.
+#' If `check_predictions()` doesn't work as expected, try setting `verbose = TRUE`
+#' to get hints about possible problems.
 #'
 #' @family functions to check model assumptions and and assess model quality
 #'