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QGglmm

0.8.0Package record

Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.8.0
READMEYes · 283 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · does not mention 0.8.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
15includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
7%
Vignettes (1)

Downloads

3.1K
CRAN downloads in the past year
Rank #12,708 · ~8/day · ~256/mo
Daily download trend is not available in this view yet.
31930 days
89290 days
3.1K1 year
Compare downloads with other packages →
Also on139 r2u215 autocran85 c2d4u

Repository

16Stars
3Forks
2Open issues
0Open PRs
9Releases
175Commits
7Commit identities
175 commits · Last activity 2025-01-20 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
89%
Median days to close, 50 most recently updated closed issues
3
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-03-14 · 162026-07-07 · 16
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/devillemereuil/qgglmm on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing QGglmm adds 2 packages (2 with compiled code, 5.0 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB.

Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.4 (2016)
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.8.0Latest
    record
    2025-01-20 · current release · diff ↗
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • 0.7.4
    record
    2020-01-07 · diff ↗
  • 0.7.3
    record
    2019-12-06 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.7.2
    record
    2018-11-12 · diff ↗
  • 0.7.1
    record
    2018-06-15 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.6.0
    record
    2017-10-09 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
Show 4 earlier eventsHide 4 earlier events

Package metadata

First published
2016-07-13
Total releases
9 / 10 yrs
License
GPL-2 OSI
Download size
453 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("QGglmm")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1534/genetics.115.186536.

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 QGglmm version 0.8.0 [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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