glmm (1.3.0)

Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation.

Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.

Maintainer: Christina Knudson
Author(s): Christina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb]

License: GPL-2

Uses: doParallel, foreach, itertools, Matrix, mvtnorm, trust, knitr

Released over 1 year ago.