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gamselBayes

2.0-3

Bayesian Generalized Additive Model Selection

0packages depend
2.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Matt P. WandFirst published 2022-01-206 releasesCRAN page ↗

Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2024) doi:10.1007/s10182-023-00490-y.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-30
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-04-22
    8 OK · 2 NOTE · 4 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    7 OK · 2 NOTE · 4 WARNING · 1 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • WARNING2026-03-29
    11 OK · 2 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
80%
Documented parameters
100%
Return-value docs
100%
References docs
20%

Downloads

2.8K
CRAN downloads in the past year
Rank #14,242 · ~8/day · ~232/mo
Daily download trend is not available in this view yet.
19930 days
74490 days
2.8K1 year
Compare downloads with other packages →
Also on429 r2u24 autocran

Dependencies

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

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0-3Latest
    2025-05-01 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0-2
    2025-02-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0-1
    2023-09-03 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0-3
    2023-04-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0-2
    2022-02-09 · diff ↗
  • 1.0-1
    2022-01-20
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-20
Total releases
6 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
1.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gamselBayes")
Wand, M. P., & He, V. X. (2025). gamselBayes: Bayesian Generalized Additive Model Selection (Version 2.0-3) [Computer software]. https://doi.org/10.32614/CRAN.package.gamselBayes

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 gamselBayes version 2.0-3 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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