collinear-package

_PACKAGE

Package for multicollinearity management in data frames with numeric and categorical variables.

internal

System for seamless management of multicollinearity in data frames
with numeric and/or categorical variables for statistical analysis and
machine learning modeling. The package combines bivariate correlation
(Pearson, Spearman, and Cramer's V) with variance inflation factor analysis,
target encoding to transform categorical variables into numeric (Micci-Barreca, D. 2001
<DOI:10.1145/507533.507538>), and a flexible
feature prioritization method, to deliver a comprehensive
multicollinearity management tool covering a wide range of use cases.

Blas M. Benito

collinear

Seamless Multicollinearity Management

collinear-package function

Maintainer: Blas M. Benito <a href="/link/blasbenito%40gmail.com?package=collinear&version=1.1.1" data-mini-rdoc="collinear::blasbenito@gmail.com">blasbenito@gmail.com</a> (<a href="https://orcid.org/0000-0001-5105-7232">ORCID</a>) [copyright holder]

Author

collinear — collinear-package

Maintainer: Blas M. Benito <a href='mailto:blasbenito@gmail.com'>blasbenito@gmail.com</a> (<a href='https://orcid.org/0000-0001-5105-7232'>ORCID</a>) [copyright holder]

collinear-package: collinear

Description

Arguments

Author

See Also