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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.4.2 by Christina Knudson, a year ago

Browse source code at

Authors: Christina Knudson [aut, cre] , Charles J. Geyer [ctb] , Sydney Benson [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports stats, foreach, itertools, utils

Depends on trust, mvtnorm, Matrix, parallel, doParallel

Suggests knitr

See at CRAN