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BayesfMRI

0.11.0

Spatial Bayesian Methods for Task Functional MRI Studies

0packages depend
5.2Kdownloads / year
0.0%test coverage
11/13checks pass

Overview

About
Maintained by Amanda MejiaFirst published 2023-06-084 releasesCRAN page ↗GitHub ↗

Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) doi:10.1080/01621459.2019.1611582 and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) doi:10.1016/j.neuroimage.2022.118908.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 5.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
0.0%
Coverage · measured lines
100%
Documentation · exports
14
Dependencies · direct
Check history
  • NOTE2026-07-11
    12 OK · 1 NOTE · 0 WARNING · 0 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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 408 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
91%
Return-value docs
100%
References docs
0%

Downloads

5.2K
CRAN downloads in the past year
Rank #6,334 · ~14/day · ~437/mo
Daily download trend is not available in this view yet.
30230 days
1.3K90 days
5.2K1 year
Compare downloads with other packages →
Also on425 r2u

Repository

Repository
38Stars
9Forks
2Open issues
0Open PRs
4Releases
950Commits
18Contributors
License GPL-3.0 · 950 commits · Last activity 2026-06-15 · 0% stars, 30d

Stars over time

2025-08-18 · 312026-07-07 · 38

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mandymejia/bayesfmri on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (4)
Contributor
Contributor
Contributor
Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.11.0Latest
    2025-12-22 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.10.1
    2025-03-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.11
    2023-12-18 · diff ↗
  • 0.3.5
    2023-06-08
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-08
Total releases
4 / 3 yrs
License
GPL-3 OSI
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 3.6.0
Download size
198 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesfMRI")
Mejia, A., Bolin, D., Pham, D., Ryan, S., Spencer, D., & Yue, Y. (. (2025). BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies (Version 0.11.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesfMRI

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 BayesfMRI version 0.11.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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