collinear: Seamless Multicollinearity Management

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.

Version: 1.1.0
Depends: R (≥ 4.0)
Imports: dplyr
Suggests: ranger, mgcv, future, future.apply, testthat (≥ 3.0.0), spelling
Published: 2023-11-30
Author: Blas M. Benito ORCID iD [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: collinear citation info
Materials: README NEWS
CRAN checks: collinear results


Reference manual: collinear.pdf


Package source: collinear_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): collinear_1.1.0.tgz, r-oldrel (arm64): collinear_1.1.0.tgz, r-release (x86_64): collinear_1.0.1.tgz, r-oldrel (x86_64): not available
Old sources: collinear archive


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