Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation
Description
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.