glmm (1.3.0)

0 users

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 about 1 year ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of glmm yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for glmm on google, google scholar, r-help, r-devel.

Visit glmm on R Graphical Manual.