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').
| Version: | 3.0.5 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, methods, stats |
| LinkingTo: | Rcpp |
| 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 |
| Published: | 2025-12-16 |
| DOI: | 10.32614/CRAN.package.corrselect |
| Author: | Gilles Colling [aut, cre] |
| Maintainer: | Gilles Colling <gilles.colling051 at gmail.com> |
| BugReports: | https://github.com/gcol33/corrselect/issues |
| License: | MIT + fileLICENSE |
| URL: | https://gillescolling.com/corrselect/ |
| NeedsCompilation: | yes |
| Citation: | corrselect citation info |
| Materials: | README,NEWS |
| CRAN checks: | corrselect results |
| Package source: | corrselect_3.0.5.tar.gz |
| Windows binaries: | r-devel:corrselect_3.0.5.zip, r-release:corrselect_3.0.2.zip, r-oldrel:corrselect_3.0.5.zip |
| macOS binaries: | r-release (arm64):corrselect_3.0.2.tgz, r-oldrel (arm64):corrselect_3.0.2.tgz, r-release (x86_64):corrselect_3.0.5.tgz, r-oldrel (x86_64):corrselect_3.0.5.tgz |
| Old sources: | corrselect archive |
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