Package: gaselect
Type: Package
Title: Genetic Algorithm (GA) for Variable Selection from
        High-Dimensional Data
Version: 1.0.25
Date: 2026-01-07
Authors@R: person(given = "David",
                  family = "Kepplinger",
                  role = c("aut", "cre"),
                  email = "david.kepplinger@gmail.com")
Description: Provides a genetic algorithm for finding variable subsets
        in high dimensional data with high prediction performance. The
        genetic algorithm can use ordinary least squares (OLS)
        regression models or partial least squares (PLS) regression
        models to evaluate the prediction power of variable subsets. By
        supporting different cross-validation schemes, the user can
        fine-tune the tradeoff between speed and quality of the
        solution.
URL: https://github.com/dakep/gaselect
BugReports: https://github.com/dakep/gaselect/issues
License: GPL (>= 2)
NeedsCompilation: yes
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.0.2), methods (>= 2.10.0)
Imports: Rcpp (>= 0.10.5)
LinkingTo: Rcpp (>= 0.10.5), RcppArmadillo (>= 0.9.800.4)
Collate: 'Evaluator.R' 'GenAlgControl.R' 'formatSegmentation.R'
        'evaluate.R' 'fitness.R' 'genAlg.R' 'getEvalFun.R' 'subsets.R'
        'toCControlList.R' 'validData.R'
Suggests: chemometrics
RoxygenNote: 7.3.3
Packaged: 2026-10-29 09:11:39 UTC; root
Author: David Kepplinger [aut, cre]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-08 01:30:02 UTC
RemoteUrl: https://github.com/cran/gaselect
RemoteRef: HEAD
RemoteSha: cd5a8f82bc96ade4324f8cd9d6bd60effc420231