Package: VariableSelection
Title: Select Variables for Linear Models
Version: 1.0.0
Authors@R: 
    person("Shuangshuang", "Xu", ,"xshuangshuang@vt.edu", role = c("aut", "cre"))
Description: Provides variable selection for linear models and
        generalized linear models using Bayesian information criterion
        (BIC) and model posterior probability (MPP). Given a set of
        candidate predictors, it evaluates candidate models and returns
        model-level summaries (BIC and MPP) and predictor-level
        posterior inclusion probabilities (PIP). For more details see
        Xu, S., Ferreira, M. A., & Tegge, A. N. (2025)
        <doi:10.48550/arXiv.2510.02628>.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: stats (>= 4.2.2), GA (>= 3.2.3), memoise (>= 2.0.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 3.5.0)
Config/testthat/edition: 3
Repository: https://xss55.r-universe.dev
Date/Publication: 2026-02-17 20:43:36 UTC
RemoteUrl: https://github.com/xss55/variableselection
RemoteRef: HEAD
RemoteSha: ed284fd6e4d09353b83b5c6ba3d66fda2bff38ff
NeedsCompilation: no
Packaged: 2026-06-18 09:53:56 UTC; root
Author: Shuangshuang Xu [aut, cre]
Maintainer: Shuangshuang Xu <xshuangshuang@vt.edu>