Hi, I'm looking for a R package for fitting a generalized linear mixed model g(E[yi])=â*xi+ui where g is a link function, subscript i represents the individual id, â is fixed effect coefficient, ui is a random effect with E[u]=0 and covariance Cov[u]=G*ó^2, in which G is a correlation matrix.
Is there a R package that can do such glmm fitting? Thanks in advance. Alex [[alternative HTML version deleted]]
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