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bmass

1.0.3

Bayesian Multivariate Analysis of Summary Statistics

0packages depend
2.6Kdownloads / year
0.0%test coverage
11/13checks pass

Overview

About
Maintained by Michael TurchinFirst published 2019-05-171 releasesCRAN page ↗GitHub ↗

Multivariate tool for analyzing genome-wide association study results in the form of univariate summary statistics. The goal of 'bmass' is to comprehensively test all possible multivariate models given the phenotypes and datasets provided. Multivariate models are determined by assigning each phenotype to being either Unassociated (U), Directly associated (D) or Indirectly associated (I) with the genetic variant of interest. Test results for each model are presented in the form of Bayes factors, thereby allowing direct comparisons between models. The underlying framework implemented here is based on the modeling developed in "A Unified Framework for Association Analysis with Multiple Related Phenotypes", M. Stephens (2013) doi:10.1371/journal.pone.0065245.

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: 1.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.24
0.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
95%
Return-value docs
100%
References docs
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,338 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
17430 days
58390 days
2.6K1 year
Compare downloads with other packages →
Also on116 r2u3 autocran

Repository

Repository
11Stars
1Forks
0Open issues
0Open PRs
8Releases
162Commits
3Contributors
License MIT · 162 commits · Last activity 2020-09-17 · +10% stars, 30d

Stars over time

2024-09-18 · 102026-07-22 · 11

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mturchin20/bmass on 2026-08-03.

Continuous integration (1)
Travis CI
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
Imports (2)
utilsstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.3Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2019-05-17
Total releases
1 / 7 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.3.0
Bundled data
3.4 KB / 7 files
Download size
60 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bmass")
Turchin, M., Carbonetto, P., & Stephens, M. (2019). bmass: Bayesian Multivariate Analysis of Summary Statistics (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.bmass

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 bmass version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-07. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-07, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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