Other packages > Find by keyword >

StepReg  

Stepwise Regression Analysis
View on CRAN: Click here


Download and install StepReg package within the R console
Install from CRAN:
install.packages("StepReg")

Install from Github:
library("remotes")
install_github("cran/StepReg")

Install by package version:
library("remotes")
install_version("StepReg", "1.6.2")



Attach the package and use:
library("StepReg")
Maintained by
Junhui Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-03
Latest Update: 2025-02-07
Description:
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, and gamma 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), corrected AIC (AICc), Sawa Bayesian Information Criterion (BIC), Schwarz Bayesian Information Criterion (SBC), Significant Levels (SL), among others. Moreover, it facilitates the concurrent selection of multiple methods and criteria for variable selection. For user-friendly exploration and analysis, StepReg provides an intuitive R Shiny app.
How to cite:
Junhui Li (2017). StepReg: Stepwise Regression Analysis. R package version 1.6.2, https://cran.r-project.org/web/packages/StepReg. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2017-11-03 11:17), 1.0.1 (2019-01-17 13:10), 1.1.0 (2019-05-24 11:10), 1.2.0 (2019-05-31 10:40), 1.2.1 (2019-09-20 11:30), 1.3.0 (2019-10-16 06:10), 1.3.1 (2019-10-29 06:20), 1.3.2 (2019-11-11 14:10), 1.3.3 (2019-11-25 10:10), 1.3.4 (2020-01-08 13:40), 1.4.0 (2020-02-24 13:50), 1.4.1 (2020-03-23 16:30), 1.4.2 (2021-04-05 00:10), 1.4.3 (2022-01-14 10:22), 1.4.4 (2022-12-17 17:20), 1.5.0 (2024-03-21 22:40), 1.5.1 (2024-05-21 17:50), 1.5.2 (2024-08-16 16:20), 1.5.3 (2024-09-17 09:10), 1.5.4 (2024-10-13 01:40), 1.5.5 (2024-11-04 21:40), 1.5.6 (2024-12-05 09:30), 1.5.7 (2025-01-22 09:10), 1.5.8 (2025-02-07 18:40), 1.6.0 (2025-09-30 18:10), 1.6.1 (2025-10-24 15:50), 1.6.2 (2026-01-11 19:10), 1.6.4 (2026-05-14 07:10), 1.6.5 (2026-05-21 23:50)
Other packages that cited StepReg R package
View StepReg citation profile
Other R packages that StepReg depends, imports, suggests or enhances
Complete documentation for StepReg
Functions, R codes and Examples using the StepReg R package
Some associated functions: modelFitStat . print.StepReg . stepwise . stepwiseCox . stepwiseLogit . 
Some associated R codes: modelFitStat.R . print.StepReg.R . stepwise.R . stepwiseCox.R . stepwiseLogit.R .  Full StepReg package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA