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-4.5)gemma2_0.1.3.zip(r-4.4)gemma2_0.1.3.zip(r-4.3)
gemma2_0.1.3.tgz(r-4.4-any)gemma2_0.1.3.tgz(r-4.3-any)
gemma2_0.1.3.tar.gz(r-4.5-noble)gemma2_0.1.3.tar.gz(r-4.4-noble)
gemma2_0.1.3.tgz(r-4.4-emscripten)gemma2_0.1.3.tgz(r-4.3-emscripten)
gemma2.pdf |gemma2.html
gemma2/json (API)
NEWS

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

Peer review:

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

On CRAN:

em-algorithmgeneticsmixed-models

9 exports 11 stars 1.70 score 2 dependencies 1 dependents 10 scripts 174 downloads

Last updated 4 years agofrom:ea3052f860. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winNOTEAug 30 2024
R-4.3-macNOTEAug 30 2024

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 Aug 30 2024.

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