fboehm/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

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.3
URL https://github.com/fboehm/gemma2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("fboehm/gemma2")
fboehm/gemma2 documentation built on Oct. 28, 2020, 5:35 p.m.