Package: glmmrBase
Type: Package
Title: Monte Carlo Maximum Likelihood and Analysis of Generalised
        Linear Mixed Models
Version: 1.4.1
Date: 2026-05-27
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. 
  Monte Carlo Maximum likelihood model fitting for a range of models, 
  non-linear fixed effect specifications, a wide range of flexible covariance functions including 
  Gaussian Process approximations. Methods described in Watson, Wang, and Giorgi (2026) <doi:10.48550/arXiv.2601.16022>.
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
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: 2026-05-27 14:07:11 UTC; samue
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-28 09:10:02 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-05-28 12:39:46 UTC; unix
Archs: glmmrBase.so.dSYM
