Package: corrselect
Title: Correlation-Based and Model-Based Predictor Pruning
Version: 3.2.2
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LinkingTo: Rcpp
Imports: Rcpp, S7, stats
Suggests: GO.db, WGCNA, preprocessCore, impute, energy, minerva, lme4,
        glmmTMB, MASS, caret, car, carData, microbenchmark, igraph,
        Boruta, 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
Repository: https://gcol33.r-universe.dev
Date/Publication: 2026-06-29 15:24:34 UTC
RemoteUrl: https://github.com/gcol33/corrselect
RemoteRef: HEAD
RemoteSha: 2fb982f0d802d3f78f78b0408439f2a22208c2df
NeedsCompilation: yes
Packaged: 2026-06-29 17:42:22 UTC; root
Author: Gilles Colling [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-3070-6066>)
Maintainer: Gilles Colling <gilles.colling051@gmail.com>