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Sparse Marginal Epistasis Test

0packages depend
3.5Kdownloads / year
–test coverage
9/13flavors OK

Overview

About

The Sparse Marginal Epistasis Test is a computationally efficient genetics method which detects statistical epistasis in complex traits; see Stamp et al. (2025, doi:10.1101/2025.01.11.632557) for details.

Changes in 0.0.3
  • Bug fixes for macOS CRAN checks
  • Lowered R requirement from 4.4.0 to 4.3.0

From NEWS.md in the release

Install

Health

CRAN checks
4ERROR9OK
Check messages
ERRORwhether package can be installedr-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-release-macos-arm64, r-release-macos-x86_64

r-oldrel-macos-arm64

Installation failed.
See ‘/Volumes/Builds/packages/big-sur-arm64/results/4.5/smer.Rcheck/00install.out’ for details.

r-oldrel-macos-x86_64

Installation failed.
See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.5/smer.Rcheck/00install.out’ for details.

r-release-macos-arm64

Installation failed.
See ‘/Volumes/Builds/packages/sonoma-arm64/results/4.6/smer.Rcheck/00install.out’ for details.

r-release-macos-x86_64

Installation failed.
See ‘/Volumes/Builds/packages/big-sur-x86_64/results/4.6/smer.Rcheck/00install.out’ for details.

CRAN check page ↗

Slowest check: 8.7 min · r-devel-windows-x86_64
Status changes
  • ERROR9 OK, 4 ERRORNow
  • ERROR8 OK, 1 NOTE, 5 ERROR2026-03-10
Advisories

none known

Documentation

Downloads

3.5K
CRAN downloads in the past year
Rank #10,739 · ~10/day · ~296/mo
smer
Daily download trend is not available in this view yet.
63130 days
96190 days
3.5K1 year
Compare downloads with other packages →
Also on379 r2u

Repository

4Stars
1Forks
0Open issues
1Open PRs
2Releases
14Commits
2Commit identities
epistasisgeneticscppcranepistasis-analysisepistatisgwasgwas-tools
14 commits · Last activity 2025-08-22 · 0% stars, 30d · The default branch showed an older version (0.0.2) than CRAN on 2026-10-11
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
94
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

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

Checks run against github.com/lcrawlab/sme on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-08-22 · The repository has a site deploy workflow

pkgdown site last built 2025-08-22, before release 0.0.3 (2026-09-17)

Reproducibility and dev environment (2)
data-raw/Makefile
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing smer adds 66 packages (37 with compiled code, 48 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, Rcpp 1.8 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 4.3.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 0.0.1 (2025), Author
Copyright holder
Author of included mailman algorithm
Listed in earlier versions (1)
Blue Brain Project/EPFL
no longer listed · 0.0.1
Releases (3)
  • unarchivedReturned to CRAN
    2026-09-17
  • 0.0.3Latest
    2026-09-17 · current release · diff ↗
  • archivedRemoved from CRAN
    2026-09-16
    issues were not corrected in time
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.2
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0.1
    2025-01-16
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-16
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Download size
1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("smer")
Stamp, J., sriramlab, & Crawford, L. (2026). smer: Sparse Marginal Epistasis Test (Version 0.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.smer

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 smer version 0.0.3 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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