Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables based on a correction choice of False Discovery Rate, Bonferroni, or no correction.
| Version: | 3.0 |
| Published: | 2020-04-17 |
| Author: | Jongwook Kim, Adriano Zanin Zambom |
| Maintainer: | Jongwook Kim <jongwook226 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | SignifReg results |
| Reference manual: | SignifReg.pdf |
| Package source: | SignifReg_3.0.tar.gz |
| Windows binaries: | r-devel: SignifReg_3.0.zip, r-release: SignifReg_3.0.zip, r-oldrel: SignifReg_3.0.zip |
| macOS binaries: | r-release: SignifReg_3.0.tgz, r-oldrel: SignifReg_3.0.tgz |
| Old sources: | SignifReg archive |
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