Package: StepReg
Version: 1.5.0
Title: Stepwise Regression Analysis
Authors@R: c(
    person("Junhui", "Li", , "junhui.li11@umassmed.edu", role = c("cre"),
           comment = c(ORCID = "0000-0003-3973-1700")),
    person("Junhui", "Li", , "junhui.li11@umassmed.edu", role = c("aut"),
    comment = c(ORCID = "0000-0003-3973-1700")),
    person("Kai", "Hu", , "kai.hu@umassmed.edu", role = c("aut")),
    person("Xiaohuan", "Lu", , role = c("aut")),
    person("Kun", "Cheng", , role = c("ctb")),
    person("Sushmita", "Nayak", , role = c("ctb")),
    person("Cesar", "Bautista Sotelo", , role = c("ctb")),
    person("Michael", "Lodato", , role = c("ctb")),
    person("Robert", "H Brown", , role = c("ctb")),
    person("Wenxin", "Liu", , role = c("aut")),
    person("Lihua", "Julie Zhu", , role = c("aut"))
  )
Date: 2024-03-17
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.
License: MIT + file LICENSE
VignetteBuilder: knitr
Suggests: knitr, testthat, BiocStyle, kableExtra, AER
Imports: dplyr, ggplot2, ggrepel, purrr, stringr, survival, flextable,
        shiny, cowplot, rlang, GGally, ggcorrplot, tidyr, summarytools,
        shinythemes, rmarkdown, DT, shinycssloaders, shinyjs
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-06-20 06:47:16 UTC; root
Author: Junhui Li [cre] (<https://orcid.org/0000-0003-3973-1700>),
        Junhui Li [aut] (<https://orcid.org/0000-0003-3973-1700>), Kai
        Hu [aut], Xiaohuan Lu [aut], Kun Cheng [ctb], Sushmita Nayak
        [ctb], Cesar Bautista Sotelo [ctb], Michael Lodato [ctb],
        Robert H Brown [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libfribidi-dev make libharfbuzz-dev
        libmagick++-dev gsfonts libicu-dev libjpeg-dev libpng-dev
        libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev
        zlib1g-dev
Repository: https://remlapmot.r-universe.dev
Date/Publication: 2024-04-02 20:29:49 UTC
RemoteUrl: https://github.com/remlapmot/StepReg
RemoteRef: no-xlsx
RemoteSha: bc83fdaa96752abbf1ec2e43968ec3e798b7707a