Package: collinear
Title: Automated Multicollinearity Management
Version: 2.0.0
Authors@R: 
    person(given = "Blas M.", 
          family = "Benito", , 
          email = "blasbenito@gmail.com", 
          role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-5105-7232"))
URL: https://blasbenito.github.io/collinear/
BugReports: https://github.com/blasbenito/collinear/issues
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: progressr, future.apply, mgcv, rpart, ranger
Suggests: future, testthat (>= 3.0.0), spelling
Config/testthat/edition: 3
Depends: R (>= 4.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-08 13:37:40 UTC; blas
Author: Blas M. Benito [aut, cre, cph]
    (<https://orcid.org/0000-0001-5105-7232>)
Maintainer: Blas M. Benito <blasbenito@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-08 13:50:02 UTC
Built: R 4.4.3; ; 2025-10-21 13:13:30 UTC; windows
