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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.

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

Documentation:

Reference manual: glmmrBase.pdf

Downloads:

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 dependencies:

Reverse depends: glmmrOptim
Reverse linking to: glmmrOptim, rts2

Linking:

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.