Multivariate linear mixed model solver for estimation of heterogeneous variances and specification of variance covariance structures. Maximum and Restricted Maximum Likelihood (ML/REML) estimates can be obtained using the DirectInversion NewtonRaphson (NR), DirectInversion Average Information (AI), MMEbased ExpectationMaximization (EM), and Efficient Mixed Model Association (EMMA) algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominance and epistatic relationship structures or other covariance structures in R, but also functional as a regular multivariate mixed model software. Multivariate models (multiple responses) can be fitted currently with NR, AI and EMMA algorithms.
Package details 


Author  Giovanny CovarrubiasPazaran 
Date of publication  20170708 21:18:19 UTC 
Maintainer  Giovanny CovarrubiasPazaran <cova_ruber@live.com.mx> 
License  GPL3 
Version  2.9 
URL  http://www.wisc.edu 
Package repository  View on CRAN 
Installation 
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