Package: SignifReg
Type: Package
Title: Significant Variable Selection in Linear Regression
Version: 1.0
Date: 2017-01-25
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Jongwook Kim <jongwook226@gmail.com>
Description: Provide a significant 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.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-01 21:20:30 UTC; adrianozambom
Repository: CRAN
Date/Publication: 2017-02-02 02:04:01
