f_auto_rules

<p>Data frame with rules used by <code>f_auto()</code> to select the function <code>f</code> to compute preference order in <code>preference_order()</code>.</p>

Effortless multicollinearity management in data frames with both numeric and categorical variables for statistical and machine learning applications. The package simplifies multicollinearity analysis by combining four robust methods: 1) target encoding for categorical variables (Micci-Barreca, D. 2001 <doi:10.1145/507533.507538>); 2) automated feature prioritization to prevent key variable loss during filtering; 3) pairwise correlation for all variable combinations (numeric-numeric, numeric-categorical, categorical-categorical); and 4) fast computation of variance inflation factors.

Blas M. Benito

f_auto_rules: Rules to Select Default f Argument to Compute Preference Order

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Examples