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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: | 1.4.4 |
| Depends: | R (≥ 4.0), trust, mvtnorm, Matrix, parallel, doParallel |
| Imports: | stats, foreach, itertools, utils |
| Suggests: | knitr |
| Published: | 2022-10-09 |
| 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 |
| Reference manual: | glmm.pdf |
| Vignettes: |
author2019mypaper |
| Package source: | glmm_1.4.4.tar.gz |
| Windows binaries: | r-devel: glmm_1.4.4.zip, r-release: glmm_1.4.4.zip, r-oldrel: glmm_1.4.4.zip |
| macOS binaries: | r-release (arm64): glmm_1.4.4.tgz, r-oldrel (arm64): glmm_1.4.4.tgz, r-release (x86_64): glmm_1.4.4.tgz, r-oldrel (x86_64): glmm_1.4.4.tgz |
| Old sources: | glmm archive |
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