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.

Install the latest version of this package by entering the following in R:
install.packages("QGglmm")
AuthorPierre de Villemereuil <bonamy@horus.ens.fr>
Date of publication2016-10-02 10:12:23
MaintainerPierre de Villemereuil <bonamy@horus.ens.fr>
LicenseGPL-2
Version0.5.1

View on CRAN

Files

inst
inst/CITATION
inst/doc
inst/doc/QGglmmHowTo.Rnw
inst/doc/QGglmmHowTo.pdf
NAMESPACE
NEWS.md
R
R/source.icc.R R/source.mv.R R/source.ordinal.R R/source.R
vignettes
vignettes/perso_sorted_en.bst
vignettes/QGglmmHowTo.Rnw
vignettes/Vignette.bib
vignettes/Figs
vignettes/Figs/threshold.pdf
vignettes/Figs/latent.pdf
vignettes/Figs/expected.pdf
vignettes/Figs/observed.pdf
vignettes/Figs/3scales.pdf
vignettes/bigcenter.sty
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/QGlink.funcs.Rd man/QGmvicc.Rd man/QGmvpred.Rd man/QGpred.Rd man/QGvar.dist.Rd man/QGmean.Rd man/QGicc.Rd man/QGvcov.Rd man/QGglmm-package.Rd man/QGpsi.Rd man/QGmvparams.Rd man/QGmvpsi.Rd man/QGmvmean.Rd man/QGparams.Rd man/QGvar.exp.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.