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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.
Getting started
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Package details |
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| Author | Christina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb] |
| Maintainer | Christina Knudson <drchristinaknudson@gmail.com> |
| License | GPL-2 |
| Version | 1.4.5 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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