validate_arg_quiet

Internal function to validate the logical argument <code>quiet</code>, which triggers messaging when <code>FALSE</code>

Provides a comprehensive and automated workflow for managing multicollinearity in data frames with numeric and/or categorical variables. The package integrates five robust methods into a single function: (1) target encoding of categorical variables based on response values (Micci-Barreca, 2001 (Micci-Barreca, D. 2001 <doi:10.1145/507533.507538>); (2) automated feature prioritization to preserve key predictors during filtering; (3 and 4) pairwise correlation and VIF filtering across all variable types (numeric–numeric, numeric–categorical, and categorical–categorical); (5) adaptive correlation and VIF thresholds. Together, these methods enable a reliable multicollinearity management in most use cases while maintaining model integrity. The package also supports parallel processing and progress tracking via the packages 'future' and 'progressr', and provides seamless integration with the 'tidymodels' ecosystem through a dedicated recipe step.

Blas M. Benito

collinear

Automated Multicollinearity Management

validate_arg_quiet function

<dl><dt>quiet</dt>
<dd>(optional; logical) If FALSE, messages are printed. Default: FALSE.</dd>
<dt>function_name</dt>
<dd>(optional, character string) Name of the function performing the argument check. Default: NULL</dd></dl>

Arguments

Check and validate argument quiet — validate_arg_quiet

<dl>

<dt>quiet</dt>
<dd>(optional; logical) If FALSE, messages are printed. Default: FALSE.</dd>


<dt>function_name</dt>
<dd>(optional, character string) Name of the function performing the argument check. Default: NULL</dd>

</dl>

validate_arg_quiet: Check and validate argument `quiet`

Description

Usage

Value

Arguments

See Also

Examples