Package: StepReg 1.5.3

Junhui Li

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.

Authors:Junhui Li [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]

StepReg_1.5.3.tar.gz
StepReg_1.5.3.zip(r-4.5)StepReg_1.5.3.zip(r-4.4)StepReg_1.5.3.zip(r-4.3)
StepReg_1.5.3.tgz(r-4.4-any)StepReg_1.5.3.tgz(r-4.3-any)
StepReg_1.5.3.tar.gz(r-4.5-noble)StepReg_1.5.3.tar.gz(r-4.4-noble)
StepReg_1.5.3.tgz(r-4.4-emscripten)StepReg_1.5.3.tgz(r-4.3-emscripten)
StepReg.pdf |StepReg.html
StepReg/json (API)

# Install 'StepReg' in R:
install.packages('StepReg', repos = c('https://junhuili1017.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/junhuili1017/stepreg/issues

Datasets:

On CRAN:

4 exports 1 stars 2.63 score 109 dependencies 2 mentions 22 scripts 945 downloads

Last updated 5 days agofrom:ea1adb8af5. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winNOTESep 11 2024
R-4.5-linuxNOTESep 11 2024
R-4.4-winNOTESep 11 2024
R-4.4-macNOTESep 11 2024
R-4.3-winNOTESep 11 2024
R-4.3-macNOTESep 11 2024

Exports:reportStepRegShinyAppstepwisevote

Dependencies:askpassbackportsbase64encbslibcachemcheckmateclicodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tabledigestdplyrDTevaluatefansifarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggcorrplotggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelobstrlubridatemagickmagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellnlmeofficeropensslpanderpillarpkgconfigplyrprettyunitspromisespryrpurrrR6raggrappdirsrapportoolsRColorBrewerRcppreshape2rlangrmarkdownsassscalesshinyshinycssloadersshinyjsshinythemessourcetoolsstringistringrsummarytoolssurvivalsyssystemfontstextshapingtibbletidyrtidyselecttimechangetinytexutf8uuidvctrsviridisLitewithrxfunxml2xtableyamlzip

StepReg: Stepwise Regression Analysis

Rendered fromStepReg.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2024-09-10
Started: 2022-12-17