Package: corrselect
Title: Correlation-Based and Model-Based Predictor Pruning
Version: 3.2.3
Authors@R: 
    person("Gilles", "Colling", email = "gilles.colling051@gmail.com",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-3070-6066"))
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, S7, stats
Suggests: WGCNA, energy, minerva, lme4, glmmTMB, MASS, caret, car,
        igraph, Boruta, ranger, glmnet, corrplot, knitr, rmarkdown,
        testthat (>= 3.0.0), tibble, svglite, data.table
VignetteBuilder: knitr
URL: https://gillescolling.com/corrselect/
BugReports: https://github.com/gcol33/corrselect/issues
Depends: R (>= 3.5)
LazyData: true
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-07-18 19:42:39 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-3070-6066>)
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-18 20:00:02 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-07-19 00:21:47 UTC; unix
Archs: corrselect.so.dSYM
