StepReg: Stepwise Regression Analysis

Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types(linear, Cox, logistic, Poisson, Gamma, and negative binomial), incorporating popular selection strategies(forward, backward, bidirectional, and subset), and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. StepReg offers a data-splitting option to address potential issues with invalid statistical inference and a randomized forward selection option to avoid overfitting. We validated StepReg's accuracy using public datasets within the SAS software environment. Additionally, StepReg features an interactive Shiny application to enhance usability and accessibility.

Version:	1.6.0
Imports:	dplyr, ggplot2, ggrepel, MASS, stringr, survival, flextable, cowplot, shiny, ggcorrplot, tidyr, summarytools, shinythemes, rmarkdown, DT, shinycssloaders, shinyjs, pROC, survAUC
Suggests:	knitr, testthat, BiocStyle, kableExtra
Published:	2025-09-30
DOI:	10.32614/CRAN.package.StepReg
Author:	Junhui Li [cre], Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer:	Junhui Li <junhui.li11 at umassmed.edu>
BugReports:	https://github.com/JunhuiLi1017/StepReg/issues
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	StepReg results

Documentation:

Reference manual:	StepReg.html , StepReg.pdf
Vignettes:	StepReg (source, R code)

Downloads:

Package source:	StepReg_1.6.0.tar.gz
Windows binaries:	r-devel: StepReg_1.6.0.zip, r-release: StepReg_1.6.0.zip, r-oldrel: StepReg_1.6.0.zip
macOS binaries:	r-release (arm64): StepReg_1.6.0.tgz, r-oldrel (arm64): StepReg_1.6.0.tgz, r-release (x86_64): StepReg_1.6.0.tgz, r-oldrel (x86_64): StepReg_1.6.0.tgz
Old sources:	StepReg archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=StepReg to link to this page.