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message: 'To cite package "BMIselect" in publications use:'
type: software
license: Apache-2.0
title: 'BMIselect: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets'
version: 1.0.3
doi: 10.32614/CRAN.package.BMIselect
abstract: Provides a suite of Bayesian MI-LASSO for variable selection methods for
  multiply-imputed datasets. The package includes four Bayesian MI-LASSO models using
  shrinkage (Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab (Spike-and-Laplace)
  priors, along with tools for model fitting via MCMC, four-step projection predictive
  variable selection, and hyperparameter calibration. Methods are suitable for both
  continuous and binary covariates under missing-at-random or missing-completely-at-random
  assumptions. See Zou, J., Wang, S. and Chen, Q. (2025), Bayesian MI-LASSO for Variable
  Selection on Multiply-Imputed Data. ArXiv, 2211.00114. <https://doi.org/10.48550/arXiv.2211.00114>
  for more details. We also provide the frequentist`s MI-LASSO function.
authors:
- family-names: Zou
  given-names: Jungang
  email: jungang.zou@gmail.com
- family-names: Wang
  given-names: Sijian
- family-names: Chen
  given-names: Qixuan
repository: https://zjg540066169.r-universe.dev
commit: 64c4b15cda8e982ff8bbf694cddd206591a3dfc7
date-released: '2025-08-25'
contact:
- family-names: Zou
  given-names: Jungang
  email: jungang.zou@gmail.com