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Zhou & Stephens (2014) GEMMA multivariate linear mixed model
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README.md

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Overview

gemma2 is an implementation in R of the GEMMAv 0.97 EM algorithm that is part of the GEMMA algorithm for REML estimation of multivariate linear mixed effects models of the form:

vec(Y)=Xve**c(B)+vec(G)+vec(E)

where E is a n by 2 matrix of random effects that follows the matrix-variate normal distribution

G ∼ M**N(0, K, Vg)

where K is a relatedness matrix and Vg is a 2 by 2 covariance matrix for the two traits of interest.

Additionally, the random errors matrix E follows the distribution:

E ∼ M**N(0, In, Ve)

and G and E are independent.

Installation

To install gemma2, use the devtools R package from CRAN. If you haven't installed devtools, please run this line of code:

install.packages("devtools")

Then, run this line of code to install gemma2:

devtools::install_github("fboehm/gemma2")
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