glmm: 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.

Package details

AuthorChristina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb]
MaintainerChristina Knudson <[email protected]>
Package repositoryView on CRAN
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glmm documentation built on Dec. 12, 2018, 1:04 a.m.