Package: SignifReg
Type: Package
Title: Consistent Significance Controlled Variable Selection in
        Generalized Linear Regression
Version: 4.3
Date: 2022-03-21
Imports: car
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>
Description: 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>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-10-06 12:29:15 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-03-22 07:20:02 UTC
RemoteUrl: https://github.com/cran/SignifReg
RemoteRef: HEAD
RemoteSha: 8f66608f500b7ec677581eb400486dcaee38493d