Selecting Variables in Regression Models [R package FWDselect version 2.1.0]

FWDselect: Selecting Variables in Regression Models

A simple method to select the best model or best subset of variables using different types of data (binary, Gaussian or Poisson) and applying it in different contexts (parametric or non-parametric).

Version: 2.1.0

Depends: R (≥ 3.1.0)

Imports: cvTools, mgcv, parallel, graphics, stats

Published: 2015年12月19日

DOI: 10.32614/CRAN.package.FWDselect

Author: Marta Sestelo [aut, cre], Nora M. Villanueva [aut], Javier Roca-Pardinas [aut]

Maintainer: Marta Sestelo <sestelo at uvigo.es>

BugReports: http://github.com/sestelo/fwdselect/issues

License: MIT + file LICENSE

URL: http://cran.r-project.org/package=FWDselect

NeedsCompilation: no

Materials: NEWS

CRAN checks: FWDselect results

Documentation:

Reference manual: FWDselect.html , FWDselect.pdf

Downloads:

Package source: FWDselect_2.1.0.tar.gz

Windows binaries: r-devel: FWDselect_2.1.0.zip, r-release: FWDselect_2.1.0.zip, r-oldrel: FWDselect_2.1.0.zip

macOS binaries: r-release (arm64): FWDselect_2.1.0.tgz, r-oldrel (arm64): FWDselect_2.1.0.tgz, r-release (x86_64): FWDselect_2.1.0.tgz, r-oldrel (x86_64): FWDselect_2.1.0.tgz

Old sources: FWDselect archive

Linking:

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