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: | 3.0.2 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, methods, stats |
| LinkingTo: | Rcpp |
| Suggests: | svglite, 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 |
| Published: | 2025-11-29 |
| 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 + file LICENSE |
| URL: | https://gillescolling.com/corrselect/ |
| NeedsCompilation: | yes |
| Citation: | corrselect citation info |
| Materials: | README, NEWS |
| CRAN checks: | corrselect results |
| Reference manual: | corrselect.html , corrselect.pdf |
| Vignettes: |
Advanced Topics (source, R code) Comparison with Alternatives (source, R code) Quick Start (source, R code) Theory and Formulation (source, R code) Complete Workflows: Real-World Examples (source, R code) |
| Package source: | corrselect_3.0.2.tar.gz |
| Windows binaries: | r-devel: corrselect_2.0.1.zip, r-release: corrselect_2.0.1.zip, r-oldrel: corrselect_2.0.1.zip |
| macOS binaries: | r-release (arm64): corrselect_2.0.1.tgz, r-oldrel (arm64): corrselect_2.0.1.tgz, r-release (x86_64): corrselect_3.0.2.tgz, r-oldrel (x86_64): corrselect_3.0.2.tgz |
| Old sources: | corrselect archive |
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