Package: gemma2 0.1.3

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.

Authors:Frederick Boehm [aut, cre]

gemma2_0.1.3.tar.gz
gemma2_0.1.3.zip(r-4.7)gemma2_0.1.3.zip(r-4.6)gemma2_0.1.3.zip(r-4.5)
gemma2_0.1.3.tgz(r-4.6-any)gemma2_0.1.3.tgz(r-4.5-any)
gemma2_0.1.3.tar.gz(r-4.7-any)gemma2_0.1.3.tar.gz(r-4.6-any)
gemma2_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gemma2/json (API)
NEWS

# Install 'gemma2' in R:
install.packages('gemma2', repos = c('https://fboehm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fboehm/gemma2/issues

On CRAN:

Conda:

em-algorithmgeneticsmixed-models

5.29 score 13 stars 1 packages 10 scripts 177 downloads 9 exports 2 dependencies

Last updated from:ea3052f860. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE130
source / vignettesOK303
linux-release-x86_64NOTE129
macos-release-arm64NOTE105
macos-oldrel-arm64NOTE99
windows-develNOTE75
windows-releaseNOTE78
windows-oldrelNOTE76
wasm-releaseOK106

Exports:calc_omegacalc_qicalc_XHiYcenter_kinshipeigen_proceigen2MphEMstagger_matsupdate_u

Dependencies:latticeMatrix

Comparing gemma2 output with that of Zhou's GEMMA

Rendered fromcompare-with-GEMMAv096.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2018-01-03
Started: 2017-12-19