StepReg

StepReg-package

<img src="figures/logo.png?package=StepReg&version=1.6.1" style="float: right" alt="logo" width="120">
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. For an interactive web interface, users can install the companion 'StepRegShiny' package.

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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. For an interactive web interface, users can install the companion 'StepRegShiny' package.

Junhui Li

Stepwise Regression Analysis

Kai Hu

Xiaohuan Lu

Sushmita N Nayak

Cesar Bautista Sotelo

Michael A Lodato

Wenxin Liu

Lihua Julie Zhu

StepReg-package function

Maintainer: Junhui Li <a href="/link/junhui.li11%40umassmed.edu?package=StepReg&version=1.6.1" data-mini-rdoc="StepReg::junhui.li11@umassmed.edu">junhui.li11@umassmed.edu</a> (<a href="https://orcid.org/0000-0003-3973-1700">ORCID</a>)
Authors:<ul>
<li>Junhui Li <a href="/link/junhui.li11%40umassmed.edu?package=StepReg&version=1.6.1" data-mini-rdoc="StepReg::junhui.li11@umassmed.edu">junhui.li11@umassmed.edu</a></li>
<li>Kai Hu <a href="/link/kai.hu%40umassmed.edu?package=StepReg&version=1.6.1" data-mini-rdoc="StepReg::kai.hu@umassmed.edu">kai.hu@umassmed.edu</a></li>
<li>Xiaohuan Lu</li>
<li>Wenxin Liu</li>
<li>Lihua Julie Zhu</li>
</ul>Other contributors:<ul>
<li>Sushmita N Nayak [contributor]</li>
<li>Cesar Bautista Sotelo [contributor]</li>
<li>Michael A Lodato [contributor]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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. For an interactive web interface, users can install the companion 'StepRegShiny' package.

StepReg: Stepwise Regression Analysis — StepReg-package

Maintainer: Junhui Li <a href='mailto:junhui.li11@umassmed.edu'>junhui.li11@umassmed.edu</a> (<a href='https://orcid.org/0000-0003-3973-1700'>ORCID</a>)
Authors:<ul>
<li>Junhui Li <a href='mailto:junhui.li11@umassmed.edu'>junhui.li11@umassmed.edu</a></li>
<li>Kai Hu <a href='mailto:kai.hu@umassmed.edu'>kai.hu@umassmed.edu</a></li>
<li>Xiaohuan Lu</li>
<li>Wenxin Liu</li>
<li>Lihua Julie Zhu</li>
</ul>

Other contributors:<ul>
<li>Sushmita N Nayak [contributor]</li>
<li>Cesar Bautista Sotelo [contributor]</li>
<li>Michael A Lodato [contributor]</li>
</ul>

StepReg-package: StepReg: Stepwise Regression Analysis

Description

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Author

See Also