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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.
Getting started
Browse package contents
Package details |
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| Author | Frederick Boehm [aut, cre] (<https://orcid.org/0000-0002-1644-5931>) |
| Maintainer | Frederick Boehm <frederick.boehm@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.3 |
| URL | https://github.com/fboehm/gemma2 |
| Package repository | View on CRAN |
| Installation |
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