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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "VariableSelection" in publications use:'
type: software
license: GPL-3.0-only
title: 'VariableSelection: Select Variables for Linear Models'
version: 1.0.0
doi: 10.32614/CRAN.package.VariableSelection
abstract: 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) <https://doi.org/10.48550/arXiv.2510.02628>.
authors:
- family-names: Xu
  given-names: Shuangshuang
  email: xshuangshuang@vt.edu
repository: https://xss55.r-universe.dev
commit: ed284fd6e4d09353b83b5c6ba3d66fda2bff38ff
date-released: '2026-02-17'
contact:
- family-names: Xu
  given-names: Shuangshuang
  email: xshuangshuang@vt.edu