Package: glmmrBase
Type: Package
Title: Generalised Linear Mixed Models in R
Version: 1.4.1
Date: 2026-05-18
Authors@R: c(person("Sam", "Watson", email = "S.I.Watson@bham.ac.uk",
                  role = c("aut", "cre")))
Description: Specification, analysis, simulation, and fitting of
        generalised linear mixed models. Includes Markov Chain Monte
        Carlo Maximum likelihood 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.
License: GPL (>= 2)
Imports: methods, Rcpp (>= 1.0.11), R6
LinkingTo: Rcpp (>= 1.0.11), RcppEigen, BH, RcppParallel (>= 5.0.1)
Suggests: fmesher, lme4
RoxygenNote: 7.3.3
NeedsCompilation: yes
Author: Sam Watson [aut, cre]
URL: https://github.com/samuel-watson/glmmrBase
BugReports: https://github.com/samuel-watson/glmmrBase/issues
Biarch: true
Depends: R (>= 3.5.0), Matrix (>= 1.3-1)
SystemRequirements: GNU make
Encoding: UTF-8
Config/testthat/edition: 3
LazyData: true
Config/pak/sysreqs: make
Repository: https://samuel-watson.r-universe.dev
Date/Publication: 2026-05-28 08:51:01 UTC
RemoteUrl: https://github.com/samuel-watson/glmmrbase
RemoteRef: HEAD
RemoteSha: 02305ad4d6c754834283d96a937441abe9a31d81
Packaged: 2026-06-24 11:48:39 UTC; root
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>