Package: QGglmm 0.8.0

QGglmm: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models

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.

Authors:Pierre de Villemereuil [aut, cre]

QGglmm_0.8.0.tar.gz
QGglmm_0.8.0.zip(r-4.7)QGglmm_0.8.0.zip(r-4.6)QGglmm_0.8.0.zip(r-4.5)
QGglmm_0.8.0.tgz(r-4.6-any)QGglmm_0.8.0.tgz(r-4.5-any)
QGglmm_0.8.0.tar.gz(r-4.7-any)QGglmm_0.8.0.tar.gz(r-4.6-any)
QGglmm_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
QGglmm/json (API)
NEWS

# Install 'QGglmm' in R:
install.packages('QGglmm', repos = c('https://devillemereuil.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/devillemereuil/qgglmm/issues

On CRAN:

Conda:

6.51 score 16 stars 40 scripts 258 downloads 10 mentions 14 exports 2 dependencies

Last updated from:4baf97450f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK207
linux-release-x86_64OK109
macos-release-arm64OK107
macos-oldrel-arm64OK122
windows-develOK71
windows-releaseOK67
windows-oldrelOK80
wasm-releaseOK104

Exports:QGiccQGlink.funcsQGmeanQGmviccQGmvmeanQGmvparamsQGmvpredQGmvpsiQGparamsQGpredQGpsiQGvar.distQGvar.expQGvcov

Dependencies:cubatureRcpp

How to use QGglmm

Rendered fromQGglmmHowTo.Rnwusingutils::Sweaveon May 20 2026.

Last update: 2023-01-27
Started: 2016-09-28