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: 2026-01-07 18:47:52 UTC; david
Author: David Kepplinger [aut, cre]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-08 01:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:08:17 UTC; unix
Archs: gaselect.so.dSYM
