Other packages > Find by keyword >

StepRegShiny  

Graphical User Interface for 'StepReg'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("StepRegShiny", "1.6.1")



Attach the package and use:
library("StepRegShiny")
Maintained by
Junhui Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-03
Latest Update: 2025-11-03
Description:
A web-based 'shiny' interface for the 'StepReg' package enables stepwise regression analysis across linear, generalized linear (including logistic, Poisson, Gamma, and negative binomial), and Cox models. It supports forward, backward, bidirectional, and best-subset selection under a range of criteria. The package also supports stepwise regression to multivariate settings, allowing multiple dependent variables to be modeled simultaneously. Users can explore and combine multiple selection strategies and criteria to optimize model selection. For enhanced robustness, the package offers optional randomized forward selection to reduce overfitting, and a data-splitting workflow for more reliable post-selection inference. Additional features include logging and visualization of the selection process, as well as the ability to export results in common formats.
How to cite:
Junhui Li (2025). StepRegShiny: Graphical User Interface for 'StepReg'. R package version 1.6.1, https://cran.r-project.org/web/packages/StepRegShiny. Accessed 28 Jul. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited StepRegShiny R package
View StepRegShiny citation profile
Other R packages that StepRegShiny depends, imports, suggests or enhances
Complete documentation for StepRegShiny
Functions, R codes and Examples using the StepRegShiny R package
Full StepRegShiny package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
openintro  
Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and ...
Download / Learn more Package Citations See dependency  
NPBayesImputeCat  
Non-Parametric Bayesian Multiple Imputation for Categorical Data
These routines create multiple imputations of missing at random categorical data, and create multipl ...
Download / Learn more Package Citations See dependency  
daqapo  
Data Quality Assessment for Process-Oriented Data
Provides a variety of methods to identify data quality issues in process-oriented data, which are us ...
Download / Learn more Package Citations See dependency  
textmineR  
Functions for Text Mining and Topic Modeling
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides ...
Download / Learn more Package Citations See dependency  
ExplodeLayout  
Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership
Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a ...
Download / Learn more Package Citations See dependency  

27,987

R Packages

239,283

Dependencies

74,234

Author Associations

27,988

Publication Badges

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