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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 defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc. See Zambom and Kim (2018) <doi:10.1002/sta4.210>.
| Version: | 4.3 |
| Imports: | car |
| Published: | 2022-03-22 |
| DOI: | 10.32614/CRAN.package.SignifReg |
| Author: | Jongwook Kim, Adriano Zanin Zambom |
| Maintainer: | Adriano Zanin Zambom <adriano.zambom at csun.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | SignifReg results |
| Reference manual: | SignifReg.pdf |
| Package source: | SignifReg_4.3.tar.gz |
| Windows binaries: | r-devel: SignifReg_4.3.zip, r-release: SignifReg_4.3.zip, r-oldrel: SignifReg_4.3.zip |
| macOS binaries: | r-release (arm64): SignifReg_4.3.tgz, r-oldrel (arm64): SignifReg_4.3.tgz, r-release (x86_64): SignifReg_4.3.tgz, r-oldrel (x86_64): SignifReg_4.3.tgz |
| Old sources: | SignifReg archive |
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These binaries (installable software) and packages are in development.
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