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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.
Getting started
Browse package contents
Package details |
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| Author | Sam Watson [aut, cre] |
| Maintainer | Sam Watson <S.I.Watson@bham.ac.uk> |
| License | GPL (>= 2) |
| Version | 1.0.0 |
| URL | https://github.com/samuel-watson/glmmrBase |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the glmmrBase package in your browser
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