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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 |
Reference manual: | glmmrBase.pdf |
Package source: | glmmrBase_0.10.5.tar.gz |
Windows binaries: | r-devel: glmmrBase_0.10.5.zip, r-release: glmmrBase_0.10.5.zip, r-oldrel: glmmrBase_0.10.5.zip |
macOS binaries: | r-release (arm64): glmmrBase_0.10.5.tgz, r-oldrel (arm64): glmmrBase_0.10.5.tgz, r-release (x86_64): glmmrBase_0.10.5.tgz, r-oldrel (x86_64): glmmrBase_0.10.5.tgz |
Old sources: | glmmrBase archive |
Reverse depends: | glmmrOptim |
Reverse linking to: | glmmrOptim, rts2 |
Please use the canonical form https://CRAN.R-project.org/package=glmmrBase to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.