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
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
NeedsCompilation: no
Packaged: 2026-02-12 19:32:40 UTC; xushu
Author: Shuangshuang Xu [aut, cre]
Maintainer: Shuangshuang Xu <xshuangshuang@vt.edu>
Repository: CRAN
Date/Publication: 2026-02-17 16:00:08 UTC
Built: R 4.6.0; ; 2026-04-27 20:57:00 UTC; unix
