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 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 |
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: 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 imports: | qtl2pleio |
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