Package: collinear
Title: Seamless Multicollinearity Management for Categorical and
        Numeric Variables
Version: 1.0.1
Authors@R: 
    person("Blas", "Benito", , "blasbenito@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-5105-7232"))
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: dplyr
Suggests: ranger, mgcv, future, future.apply, testthat (>= 3.0.0),
        spelling
Config/testthat/edition: 3
Depends: R (>= 4.0)
LazyData: true
URL: https://blasbenito.github.io/collinear/
Language: en-US
NeedsCompilation: no
Packaged: 2023-10-24 07:37:04 UTC; blas
Author: Blas Benito [aut, cre, cph] (<https://orcid.org/0000-0001-5105-7232>)
Maintainer: Blas Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-24 18:30:03 UTC
Built: R 4.3.1; ; 2023-10-25 02:01:26 UTC; unix
