Package: corrselect
Title: Correlation-Based Variable Subset Selection
Version: 2.0.1
Authors@R: 
    person("Gilles", "Colling", email = "gilles.colling051@gmail.com", role = c("aut", "cre"))
Description: Provides functions to extract low-correlation variable subsets using exact graph-theoretic algorithms (e.g., Eppstein–Löffler–Strash, Bron–Kerbosch) as well as greedy and spectral heuristics. Supports both numeric and mixed-type data using generalized association measures.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp
Imports: Rcpp, methods, stats
Suggests: GO.db, WGCNA, preprocessCore, impute, energy, minerva, knitr,
        rmarkdown
VignetteBuilder: knitr
URL: https://gillescolling.com/corrselect/
BugReports: https://github.com/gcol33/corrselect/issues
NeedsCompilation: yes
Packaged: 2025-09-02 13:24:27 UTC; Gilles Colling
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-08 18:50:07 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2025-09-08 21:46:35 UTC; unix
Archs: corrselect.so.dSYM
