glmmrBase
Generalised Linear Mixed Models in R
Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See
- Version0.10.5
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/07/2024
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Team
Sam Watson
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- Depends2 packages
- Imports5 packages
- Linking To7 packages
- Reverse Depends1 package