Package: QGglmm 0.7.5

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 <[email protected]>

QGglmm_0.7.5.tar.gz
QGglmm_0.7.5.zip(r-4.5)QGglmm_0.7.5.zip(r-4.4)QGglmm_0.7.5.zip(r-4.3)
QGglmm_0.7.5.tgz(r-4.4-any)QGglmm_0.7.5.tgz(r-4.3-any)
QGglmm_0.7.5.tar.gz(r-4.5-noble)QGglmm_0.7.5.tar.gz(r-4.4-noble)
QGglmm_0.7.5.tgz(r-4.4-emscripten)QGglmm_0.7.5.tgz(r-4.3-emscripten)
QGglmm.pdf |QGglmm.html✨
QGglmm/json (API)
NEWS

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

Peer review:

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

On CRAN:

6.35 score 14 stars 32 scripts 218 downloads 10 mentions 14 exports 2 dependencies

Last updated 2 years agofrom:60efc4d544. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winNOTENov 17 2024
R-4.4-macNOTENov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:QGiccQGlink.funcsQGmeanQGmviccQGmvmeanQGmvparamsQGmvpredQGmvpsiQGparamsQGpredQGpsiQGvar.distQGvar.expQGvcov

Dependencies:cubatureRcpp

How to use QGglmm

Rendered fromQGglmmHowTo.Rnwusingutils::Sweaveon Nov 17 2024.

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