Package: penalizedSVM
Type: Package
Title: Feature Selection SVM using Penalty Functions
Version: 1.2.0
Date: 2025-09-15
Depends: e1071, mlegp, MASS
Imports: corpcor, statmod, tgp
Suggests: testthat (>= 3.0.0)
Authors@R: c(person(given = "Natalia",
                        family = "Becker",
                        role = "aut"),
                 person(given = "Wiebke",
                        family = "Werft",
                        role = "aut"),
                 person(given = "Axel",
                        family = "Benner",
                        role = "aut"),
                 person(given = "Frederic",
                        family = "Bertrand",
                        role = "cre",
                        email = "frederic.bertrand@lecnam.net"))
Author: Natalia Becker [aut], Wiebke Werft [aut], Axel Benner [aut],
        Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Support Vector Machine (SVM) classification with
        simultaneous feature selection using penalty functions is
        implemented. The smoothly clipped absolute deviation (SCAD),
        'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic
        SCAD' (SCAD and 'L2-norm') penalties are available. The tuning
        parameters can be found using either a fixed grid or a interval
        search.
License: GPL (>= 2)
LazyLoad: yes
RoxygenNote: 6.0.1
Config/testthat/edition: 3
URL: https://github.com/fbertran/penalizedSVM,
        https://fbertran.github.io/penalizedSVM
BugReports: https://github.com/fbertran/penalizedSVM/issues
Repository: https://fbertran.r-universe.dev
Date/Publication: 2025-09-14 22:07:49 UTC
RemoteUrl: https://github.com/fbertran/penalizedsvm
RemoteRef: HEAD
RemoteSha: 333e55010fc1ab3e7e37628647de51d31e0d6800
NeedsCompilation: no
Packaged: 2026-06-21 08:26:48 UTC; root