Estimation of variance components of linear mixed models via REHE

REHE is a method for estimating variance components in linear mixed models. REHE is implemented in R. By resorting to the restricted Haseman-Elston regression, REHE is computationally more efficient than the restricted maximum likelihood.

For details of the method, please see here.