Package: glmm
Type: Package
Title: Generalized Linear Mixed Models via Monte Carlo Likelihood
        Approximation
Version: 1.4.5
Date: 2024-09-20
Authors@R: c(person("Christina", "Knudson", role = c("aut", "cre"),
    email = "drchristinaknudson@gmail.com"), person("Charles J.", "Geyer", role = "ctb",
    email = "geyer@umn.edu"), person("Sydney", "Benson", role = "ctb", email = "bens0643@umn.edu"))
Maintainer: Christina Knudson <drchristinaknudson@gmail.com>
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
License: GPL-2
Depends: R (>= 4.0), trust, mvtnorm, Matrix, parallel, doParallel
Imports: stats, foreach, itertools, utils
ByteCompile: TRUE
NeedsCompilation: yes
Suggests: knitr, V8
RoxygenNote: 7.0.2
VignetteBuilder: knitr
Packaged: 2024-09-22 04:00:46 UTC; christina.knudson
Author: Christina Knudson [aut, cre],
  Charles J. Geyer [ctb],
  Sydney Benson [ctb]
Repository: CRAN
Date/Publication: 2024-09-22 04:40:01 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 17:16:41 UTC; unix
Archs: glmm.so.dSYM
