Package: glmmrBase
Type: Package
Title: Generalised Linear Mixed Models in R
Version: 1.2.1
Date: 2026-01-23
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, rstan (>= 2.32.1), rstantools
        (>= 2.3.1.1)
LinkingTo: Rcpp (>= 1.0.11), RcppEigen, BH, RcppParallel (>= 5.0.1),
        rstan (>= 2.32.1), StanHeaders (>= 2.32.0)
RoxygenNote: 7.3.2
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
Packaged: 2026-01-27 10:20:36 UTC; WatsonSI
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-27 13:00:10 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-28 04:48:25 UTC; windows
Archs: x64
