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: | 2015-12-19 |
| 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 |
| Reference manual: | FWDselect.pdf |
| 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 |
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