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.
- Version1.4.5
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release09/22/2024
Documentation
Team
Christina Knudson
Charles J. Geyer
Show author detailsRolesContributorSydney Benson
Show author detailsRolesContributor
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- Depends4 packages
- Imports2 packages
- Suggests2 packages