GEMMA Multivariate Linear Mixed Model

Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (<>). Of particular interest is the estimation of variance components with restricted maximum likelihood (REML) methods. Genome-wide efficient mixed-model association (GEMMA), as implemented in the package 'gemma2', uses an expectation-maximization algorithm for variance components inference for use in quantitative trait locus studies.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.3 by Frederick Boehm, a year ago

Report a bug at

Browse source code at

Authors: Frederick Boehm [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports methods, Matrix

Suggests covr, testthat, knitr, rmarkdown, readr

Imported by qtl2pleio.

See at CRAN