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: 0.1.1
Imports: readr, Matrix
Suggests: covr, testthat, knitr, rmarkdown
Published: 2019-10-01
Author: Frederick Boehm ORCID iD [aut, cre]
Maintainer: Frederick Boehm <frederick.boehm at gmail.com>
BugReports: https://github.com/fboehm/gemma2/issues
License: MIT + file LICENSE
URL: https://github.com/fboehm/gemma2
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: gemma2 results

Downloads:

Reference manual: gemma2.pdf
Vignettes: Comparing gemma2 output with that of Zhou's GEMMA
Package source: gemma2_0.1.1.tar.gz
Windows binaries: r-devel: gemma2_0.1.1.zip, r-release: gemma2_0.1.1.zip, r-oldrel: gemma2_0.1.1.zip
macOS binaries: r-release: gemma2_0.1.1.tgz, r-oldrel: gemma2_0.1.1.tgz

Reverse dependencies:

Reverse imports: qtl2pleio

Linking:

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