glmmrBase: Generalised Linear Mixed Models in R (original) (raw)
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.
| Version: | 0.10.5 |
|---|---|
| Depends: | R (≥ 3.5.0), Matrix (≥ 1.3-1) |
| Imports: | methods, Rcpp (≥ 1.0.11), R6, rstan (≥ 2.32.1), rstantools (≥ 2.3.1.1) |
| LinkingTo: | Rcpp (≥ 1.0.11), RcppEigen, SparseChol (≥ 0.3.1), BH, RcppParallel (≥ 5.0.1), rstan (≥ 2.32.1), StanHeaders (≥ 2.32.0) |
| Published: | 2024-09-07 |
| DOI: | 10.32614/CRAN.package.glmmrBase |
| Author: | Sam Watson [aut, cre] |
| Maintainer: | Sam Watson <S.I.Watson at bham.ac.uk> |
| BugReports: | https://github.com/samuel-watson/glmmrBase/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/samuel-watson/glmmrBase |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| In views: | MixedModels |
| CRAN checks: | glmmrBase results |
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