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gemma2: GEMMA Multivariate Linear Mixed Model

Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (<https://www.nature.com/articles/nmeth.2848>). 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 BoehmORCID iD [aut, cre]
Maintainer:Frederick Boehm <frederick.boehm at gmail.com>
BugReports:https://github.com/fboehm/gemma2/issues
License:MIT + fileLICENSE
URL:https://github.com/fboehm/gemma2
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:gemma2 results

Documentation:

Reference manual:gemma2.html ,gemma2.pdf
Vignettes:Comparing gemma2 output with that of Zhou's GEMMA (source,R code)

Downloads:

Package source: gemma2_0.1.3.tar.gz
Windows binaries: r-devel:gemma2_0.1.3.zip, r-release:gemma2_0.1.3.zip, r-oldrel:gemma2_0.1.3.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=gemma2to link to this page.


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