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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 24 Oct. 2026.
Previous versions and publish date:
No previous versions
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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
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