validate_arg_max_cor: Check and constrain argument 'max_cor'

In collinear: Automated Multicollinearity Management

Check and constrain argument max_cor

Description

Check and constrain argument max_cor

Usage

validate_arg_max_cor(max_cor = NULL, quiet = FALSE, function_name = NULL)

Arguments

max_cor	(optional; numeric or NULL) Maximum correlation allowed between pairs of predictors. Valid values are between 0.01 and 0.99, and recommended values are between 0.5 (strict) and 0.9 (permissive). Default: 0.7
quiet	(optional; logical) If FALSE, messages are printed. Default: FALSE.
function_name	(optional, character string) Name of the function performing the argument check. Default: NULL

Value

numeric or NULL

See Also

Other argument_validation: drop_geometry_column(), validate_arg_df(), validate_arg_df_not_null(), validate_arg_encoding_method(), validate_arg_f(), validate_arg_function_name(), validate_arg_max_vif(), validate_arg_predictors(), validate_arg_preference_order(), validate_arg_quiet(), validate_arg_responses()

Examples

x <- validate_arg_max_cor(
  max_cor = 1.5, #wrong value
  quiet = FALSE
)

x
attributes(x)$validated

collinear documentation built on Dec. 8, 2025, 5:06 p.m.