glmmrBase: Generalised Linear Mixed Models in R

Specification of generalised linear mixed models with a range of related functions and calculations. The package provides classes 'Covariance', 'MeanFunction' and 'Model', which allow for flexible specification of generalised linear mixed models, as well as functionality to produce relevant matrices, values, and analyses. See <> for a detailed manual.

Version: 0.3.1
Depends: R (≥ 3.5.0), Matrix (≥ 1.3-1)
Imports: methods, digest, Rcpp (≥ 1.0.7), R6
LinkingTo: Rcpp (≥ 0.12.0), RcppEigen, SparseChol (≥ 0.2.1), BH, RcppParallel (≥ 5.0.1), rminqa (≥ 0.2.2)
Suggests: testthat (≥ 3.1.0)
Published: 2023-04-20
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: glmmrBase results


Reference manual: glmmrBase.pdf


Package source: glmmrBase_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): glmmrBase_0.3.1.tgz, r-oldrel (arm64): glmmrBase_0.3.1.tgz, r-release (x86_64): glmmrBase_0.3.1.tgz, r-oldrel (x86_64): glmmrBase_0.3.1.tgz
Old sources: glmmrBase archive

Reverse dependencies:

Reverse depends: glmmrOptim
Reverse linking to: glmmrOptim


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