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grmsem

1.1.0Package record

Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)

0packages depend
2.5Kdownloads / year
67.9%test coverage
11/13flavors OK

Overview

About

Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) doi:10.1016/j.biopsych.2017.09.020, Shapland et al. (2020) doi:10.1101/2020.08.14.251199.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘msm’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 6.7 min · r-oldrel-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileNo
Help pages
11
Examples that run
0%5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
71%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #17,438 · ~7/day · ~206/mo
Daily download trend is not available in this view yet.
23430 days
73890 days
2.5K1 year
Compare downloads with other packages →
Also on64 r2u4 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
95Commits
2Commit identities
License file reads as GPL-3.0 · 95 commits · Last activity 2026-09-21 · Default branch at 1.1.6, ahead of CRAN 1.1.0 (checked 2026-10-21)
Responsiveness
not measured
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against gitlab.gwdg.de/beate.stpourcain/grmsem on 2026-10-21.

Continuous integration (1)
GitLab CI
Docs source (1)

GitHub Pages site

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing grmsem adds 16 packages (10 with compiled code, 6.4 MB of source tarballs). Heaviest: mvtnorm 1.0 MB, vctrs 1.0 MB, msm 972 KB.

Depends (1)
R >= 3.5
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.1.0 (2021)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0Latest
    2021-01-29 · current release
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-01-29
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
217 KB / 4 files
Download size
919 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("grmsem")
StPourcain, B., & Klassmann, A. (2021). grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM) (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.grmsem

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 grmsem version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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