Package: glmmrBase
Type: Package
Title: Generalised Linear Mixed Models in R
Version: 0.4.4
Date: 2023-06-30
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, digest, Rcpp (>= 1.0.7), R6
LinkingTo: Rcpp (>= 0.12.0), RcppEigen, SparseChol (>= 0.2.1), BH,
        RcppParallel (>= 5.0.1), rminqa (>= 0.2.2)
RoxygenNote: 7.2.3
NeedsCompilation: yes
Author: Sam Watson [aut, cre]
URL: https://github.com/samuel-watson/glmmrBase
BugReports: https://github.com/samuel-watson/glmmrBase/issues
Suggests: testthat (>= 3.1.0)
Biarch: true
Depends: R (>= 3.5.0), Matrix (>= 1.3-1)
SystemRequirements: GNU make
Encoding: UTF-8
Config/testthat/edition: 3
LazyData: true
Packaged: 2023-06-30 17:06:36 UTC; samue
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2023-07-01 18:40:05 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-07-02 11:18:22 UTC; unix
Archs: glmmrBase.so.dSYM
