gemma2: 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.

Version: 0.1.3
Imports: methods, Matrix
Suggests: covr, testthat, knitr, rmarkdown, readr
Published: 2020-10-24
DOI: 10.32614/CRAN.package.gemma2
Author: Frederick Boehm ORCID iD [aut, cre]
Maintainer: Frederick Boehm <frederick.boehm at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: gemma2 results


Reference manual: gemma2.pdf
Vignettes: Comparing gemma2 output with that of Zhou's GEMMA


Package source: gemma2_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gemma2_0.1.3.tgz, r-oldrel (arm64): gemma2_0.1.3.tgz, r-release (x86_64): gemma2_0.1.3.tgz, r-oldrel (x86_64): gemma2_0.1.3.tgz
Old sources: gemma2 archive

Reverse dependencies:

Reverse imports: qtl2pleio


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