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StepReg: Stepwise Regression Analysis

The stepwise regression analysis is a statistical technique used to identify a subset of predictor variables essential for constructing predictive models. This package performs stepwise regression analysis across various regression models such as linear, logistic, Cox proportional hazards, Poisson, Gamma, and negative binomial regression. It incorporates diverse stepwise regression algorithms like forward selection, backward elimination, and bidirectional elimination alongside the best subset method. Additionally, it offers a wide range of selection criteria, including Akaike Information Criterion (AIC), Sawa Bayesian Information Criterion (BIC), and Significance Levels (SL). We validated the output accuracy of StepReg using public datasets within the SAS software environment. To facilitate efficient model comparison and selection, StepReg allows for multiple strategies and selection metrics to be executed in a single function call. Moreover, StepReg integrates a Shiny application for interactive regression analysis, broadening its accessibility.

Version: 1.5.6
Imports: dplyr, ggplot2, ggrepel, MASS, stringr, survival, flextable, cowplot, shiny, ggcorrplot, tidyr, summarytools, shinythemes, rmarkdown, DT, shinycssloaders, shinyjs
Suggests: knitr, testthat, BiocStyle, kableExtra
Published: 2024-12-05
DOI: 10.32614/CRAN.package.StepReg
Author: Junhui Li ORCID iD [cre], Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Kun Cheng [ctb], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Robert H Brown [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
CRAN checks: StepReg results

Documentation:

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

Downloads:

Package source: StepReg_1.5.6.tar.gz
Windows binaries: r-devel: StepReg_1.5.6.zip, r-release: StepReg_1.5.6.zip, r-oldrel: StepReg_1.5.6.zip
macOS binaries: r-release (arm64): StepReg_1.5.6.tgz, r-oldrel (arm64): StepReg_1.5.6.tgz, r-release (x86_64): StepReg_1.5.6.tgz, r-oldrel (x86_64): StepReg_1.5.6.tgz
Old sources: StepReg archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.