Skip to content

Bayenet

0.4Package record

Robust Bayesian Elastic Net

0packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Xi LuCRAN page ↗

As heavy-tailed error distribution and outliers in the response variable widely exist, models which are robust to data contamination are highly demanded. Here, we develop a novel robust Bayesian variable selection method with elastic net penalty. In particular, the spike-and-slab priors have been incorporated to impose sparsity. An efficient Gibbs sampler has been developed to facilitate computation.The core modules of the package have been developed in 'C++' and R.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
38%

Downloads

3.4K
CRAN downloads in the past year
Rank #9,500 · ~9/day · ~280/mo
Daily download trend is not available in this view yet.
36430 days
1K90 days
3.4K1 year
Compare downloads with other packages →
Also on395 r2u34 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing Bayenet adds 12 packages (10 with compiled code, 9.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, VGAM 1.7 MB, mcmc 1.5 MB.

Depends (1)
R >= 3.5.0
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1 (2023)
Author
Releases (4)

Pick two releases to compare their code metrics.

  • 0.4Latest
    record
    2026-09-10 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.3
    record
    2025-03-19 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2
    record
    2024-04-05 · diff ↗
  • 0.1
    record
    2023-05-24
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-24
Total releases
4 / 3 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
1.1 KB / 1 file
Download size
23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Bayenet")
Lu, X., & Wu, C. (2026). Bayenet: Robust Bayesian Elastic Net (Version 0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.Bayenet

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 Bayenet version 0.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy