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

5.26 score 12 stars 1 packages 10 scripts 126 downloads 9 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winNOTEOct 29 2024
R-4.3-macNOTEOct 29 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 Oct 29 2024.

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