Provide consistent significance controlled variable selection procedure with different directions (forward, backward, stepwise) based on diverse criteria (Mallows' Cp, AIC, BIC, adjusted r-square, 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: | 1.1 |
Published: | 2019-02-16 |
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_1.1.tar.gz |
Windows binaries: | r-devel: SignifReg_1.1.zip, r-release: SignifReg_1.1.zip, r-oldrel: SignifReg_1.1.zip |
OS X binaries: | r-release: SignifReg_1.1.tgz, r-oldrel: SignifReg_1.1.tgz |
Old sources: | SignifReg archive |
Please use the canonical form https://CRAN.R-project.org/package=SignifReg to link to this page.