glmm: Generalized Linear Mixed Models via Monte Carlo LikelihoodApproximation
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.
| Version: | 1.4.5 |
| Depends: | R (≥ 4.0),trust,mvtnorm,Matrix, parallel,doParallel |
| Imports: | stats,foreach,itertools, utils |
| Suggests: | knitr,V8 |
| Published: | 2024-09-22 |
| DOI: | 10.32614/CRAN.package.glmm |
| Author: | Christina Knudson [aut, cre], Charles J. Geyer [ctb], Sydney Benson [ctb] |
| Maintainer: | Christina Knudson <drchristinaknudson at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| In views: | MixedModels |
| CRAN checks: | glmm results |
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