Package: glmmrBase
Type: Package
Title: Generalised Linear Mixed Models in R
Version: 1.0.2
Date: 2025-07-22
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 and Laplace approximation 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. 
  See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
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, SparseChol (>= 0.3.2), 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: 2025-07-22 08:43:15 UTC; WatsonSI
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-22 11:40:02 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2025-07-22 12:06:19 UTC; unix
Archs: glmmrBase.so.dSYM
