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BMIselect

1.0.4

Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets

0packages depend
5.6Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Jungang ZouFirst published 2025-07-094 releasesCRAN page ↗

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. doi:10.48550/arXiv.2211.00114 for more details. We also provide the frequentist MI-LASSO function.

Install

Health

CRAN checks
1ERROR12OK
Failing flavors
  • ERROR r-oldrel-macos-arm64
Slowest check: 6.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
11
Dependencies · direct
Check history
  • ERROR2026-07-10
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Downloads

5.6K
CRAN downloads in the past year
Rank #7,320 · ~15/day · ~468/mo
Daily download trend is not available in this view yet.
22730 days
1.2K90 days
5.6K1 year
Compare downloads with other packages →
Also on129 r2u28 autocran

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.4Latest
    2026-07-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.3
    2025-08-25 · diff ↗
  • 1.0.2
    2025-08-20 · diff ↗
  • 1.0.1
    2025-07-09
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-09
Total releases
4 / 1 yrs
License
Apache License (>= 2)
Minimum R
≥ 3.5.0
Download size
52 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BMIselect")
Zou, J., Chen, Q., & Wang, S. (2026). BMIselect: Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Datasets (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.BMIselect

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BMIselect version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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