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 https://samuel-watson.github.io/glmmr-web/ for a detailed manual.
- Version0.11.1
- R versionR (≥ 3.5.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/10/2024
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Sam Watson
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- Imports4 packages
- Linking To7 packages
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