drop_geometry_column

Replicates the functionality of <code><a href="https://r-spatial.github.io/sf/reference/st_geometry.html">sf::st_drop_geometry()</a></code> without depending on the <code>sf</code> package.

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

collinear

Automated Multicollinearity Management

drop_geometry_column function

<dl><dt>df</dt>
<dd>(required; data frame, tibble, or sf) A data frame with responses and predictors. Default: NULL.</dd>
<dt>quiet</dt>
<dd>(optional; logical) If FALSE, messages generated during the execution of the function are printed to the console Default: FALSE</dd></dl>

Arguments

Author

Replicates the functionality of <code><a href='https://r-spatial.github.io/sf/reference/st_geometry.html'>sf::st_drop_geometry()</a></code> without depending on the <code>sf</code> package.

Removes geometry column in sf data frames — drop_geometry_column

<dl>

<dt>df</dt>
<dd>(required; data frame, tibble, or sf) A data frame with responses and predictors. Default: NULL.</dd>


<dt>quiet</dt>
<dd>(optional; logical) If FALSE, messages generated during the execution of the function are printed to the console Default: FALSE</dd>

</dl>

drop_geometry_column: Removes geometry column in sf data frames

Description

Usage

Value

Arguments

Author