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Flexible Bayesian Model Selection and Model Averaging

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

Overview

About

Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in doi:10.1016/j.csda.2018.05.020 and its Genetically Modified counterpart described in doi:10.1613/jair.1.13047 as well as the sub-sampling versions described in doi:10.1016/j.ijar.2022.08.018 for flexible Bayesian model selection and model averaging.

Install

Health

CRAN checks
13OK
Slowest check: 12.3 min · r-oldrel-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
  • OK12 OK2026-04-25
Show 5 earlier changesHide 5 earlier changes
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-29
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-03-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.4
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
102includes a package overview page
Examples that run
89%84 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
95%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
2%
Vignettes (1)

Downloads

3.4K
CRAN downloads in the past year
Rank #9,763 · ~9/day · ~285/mo
Daily download trend is not available in this view yet.
42230 days
1K90 days
3.4K1 year
Compare downloads with other packages →
Also on481 r2u3 autocran

Repository

2Stars
3Forks
16Open issues
0Open PRs
0Releases
487Commits
6Commit identities
487 commits · Last activity 2025-12-19 · 0% stars, 30d · The default branch showed an older version (1.3) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
80%
Median days to close, 50 most recently updated closed issues
91
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-08-23 · 12026-08-01 · 2
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jonlachmann/fbms 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

Coverage (1)
Coverage reporting
Lint, format, editor (1)
Lint workflow
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing FBMS adds 75 packages (41 with compiled code, 82 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5.0
Imports (8)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Maintainer since 1.0 (2023), Author
Releases (5)

Pick two releases to compare their code metrics.

  • 1.4Latest
    record
    2026-08-25 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.3
    record
    2025-11-20 · diff ↗ ·
    removed 9 exports
    gaussian.loglik.alpha, gaussian.loglik.g, gaussian_tcch_log_likelihood, glm.loglik, glm.loglik.g, glm.logpost.bas, lm.logpost.bas, logistic.loglik.ala, logistic.loglik.alpha
    added 6 exports
    aggr, fitted.fbms_predict, impute_x, impute_x_pred, predmean, predquantiles
  • 1.2
    record
    2025-09-12 · diff ↗ ·
    removed 6 exports
    gauss, linear.g.prior.loglik, to23, to25, to35, to72
    added 8 exports
    arcsinh, fbms.mlik.master, gaussian.loglik.g, gaussian_tcch_log_likelihood, glm.loglik, glm.loglik.g, glm.logpost.bas, lm.logpost.bas
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1
    record
    2025-02-26 · diff ↗ ·
    added 4 exports
    get.best.model, get.mpm.model, log_prior, logistic.loglik.ala
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0
    record
    2023-12-21
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-12-21
Total releases
5 / 3 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
2.9 MB / 4 files
Download size
3.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FBMS")
Lachmann, J., & Hubin, A. (2026). FBMS: Flexible Bayesian Model Selection and Model Averaging (Version 1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.FBMS

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 FBMS version 1.4 [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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