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
Author:	Frederick Boehm [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

Documentation:

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

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:

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