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Bayesian Logistic Regression with Heavy-Tailed Priors

0packages depend
3.6Kdownloads / year
37.8%test coverage
13/13flavors OK

Overview

About

Efficient Bayesian multinomial logistic regression based on heavy-tailed (hyper-LASSO, non-convex) priors. The posterior of coefficients and hyper-parameters is sampled with restricted Gibbs sampling for leveraging the high-dimensionality and Hamiltonian Monte Carlo for handling the high-correlation among coefficients. A detailed description of the method: Li and Yao (2018), Journal of Statistical Computation and Simulation, 88:14, 2827-2851, doi:10.48550/arXiv.1405.3319.

Install

Health

CRAN checks
13OK
Slowest check: 8.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-10-15
  • WARNING12 OK, 1 WARNING2026-10-01
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0
READMEYes · 222 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 1.0Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
21 (8 internal)
Examples that run
100%10 run in a plain check
Exported functions with examples
50%
Documented parameters
89%
Return-value docs
100%
Help pages citing references
33%
Vignettes (1)

Downloads

3.6K
CRAN downloads in the past year
Rank #10,747 · ~10/day · ~302/mo
Daily download trend is not available in this view yet.
43330 days
96490 days
3.6K1 year
Compare downloads with other packages →
Also on370 r2u3 autocran

Repository

10Stars
1Forks
4Open issues
0Open PRs
1Releases
312Commits
3Commit identities
classificationbayesianhigh-dimensional-datamcmcmachine-learning
License file reads as GPL-3.0 · 312 commits · Last activity 2025-12-14
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
49
Median days to close, 50 most recently updated closed PRs
4
PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/longhaisk/htlr on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Issue templates
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-12-14 · The repository has a site deploy workflow

pkgdown site last built 2025-12-14, before release 1.0 (2025-12-15)

Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 1 practice
Lint, format, editor (2)
Lint workflowRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing HTLR adds 10 packages (6 with compiled code, 9.1 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 3.6.2
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2025)
Author

Previously maintained by Longhai Li (0.4 to 0.4-4).

Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    record
    2025-12-15 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.4-4
    record
    2022-10-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4-3
    record
    2020-09-09 · diff ↗ ·
    added 3 exports
    order_ftest, order_kruskal, order_plain
  • R
    R 4.0.0 released · 2020-04-24
  • 0.4-2
    record
    2020-01-17 · diff ↗ ·
    added 1 export
    std
  • 0.4-1
    record
    2019-10-09 · diff ↗
  • 0.4
    record
    2019-10-06
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-10-06
Total releases
6 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.2
Bundled data
952 KB / 2 files
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("HTLR")

The package provides a citation file, so citation() returns the authors' own entry.

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 HTLR version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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