SignifReg
Consistent Significance Controlled Variable Selection in Generalized Linear Regression
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.
- Version4.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/22/2022
Team
Adriano Zanin Zambom
Jongwook Kim
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- Imports1 package