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: 2.0
Depends: R (≥ 3.1.0)
Imports: cvTools, mgcv, parallel
Published: 2015-05-17
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


Reference manual: FWDselect.pdf
Package source: FWDselect_2.0.tar.gz
Windows binaries: r-devel: FWDselect_2.0.zip, r-release: FWDselect_2.0.zip, r-oldrel: FWDselect_2.0.zip
OS X Snow Leopard binaries: r-release: FWDselect_2.0.tgz, r-oldrel: FWDselect_2.0.tgz
OS X Mavericks binaries: r-release: FWDselect_2.0.tgz
Old sources: FWDselect archive