glmmrBase: Specification of Generalised Linear Mixed Models

Specification of generalised linear mixed models using the 'R6' object-orientated class system. 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 <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual.

Version: 0.2.1
Depends: R (≥ 3.4.0), Matrix (≥ 1.3-1)
Imports: methods, Rcpp (≥ 1.0.7), R6
LinkingTo: Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), RcppEigen
Suggests: testthat
Published: 2022-11-30
Author: Sam Watson [aut, cre], Yi Pan [aut]
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
Materials: README
CRAN checks: glmmrBase results

Documentation:

Reference manual: glmmrBase.pdf

Downloads:

Package source: glmmrBase_0.2.1.tar.gz
Windows binaries: r-devel: glmmrBase_0.1.3.zip, r-release: glmmrBase_0.2.1.zip, r-oldrel: glmmrBase_0.1.3.zip
macOS binaries: r-release (arm64): glmmrBase_0.1.3.tgz, r-oldrel (arm64): glmmrBase_0.1.3.tgz, r-release (x86_64): glmmrBase_0.1.3.tgz, r-oldrel (x86_64): glmmrBase_0.1.3.tgz
Old sources: glmmrBase archive

Linking:

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