Package: glmm
Type: Package
Title: Generalized Linear Mixed Models via Monte Carlo Likelihood
        Approximation
Version: 1.4.2
Date: 2020-6-20
Authors@R: c(person("Christina", "Knudson", role = c("aut", "cre"),
    email = "knud8583@stthomas.edu"), person("Charles J.", "Geyer", role = "ctb",
    email = "geyer@umn.edu"), person("Sydney", "Benson", role = "ctb", email = "bens0643@umn.edu"))
Maintainer: Christina Knudson <knud8583@stthomas.edu>
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 (>= 3.5), trust, mvtnorm, Matrix, parallel, doParallel
Imports: stats, foreach, itertools, utils
ByteCompile: TRUE
NeedsCompilation: yes
Suggests: knitr
RoxygenNote: 7.0.2
Packaged: 2020-06-20 19:36:57 UTC; admin
Author: Christina Knudson [aut, cre],
  Charles J. Geyer [ctb],
  Sydney Benson [ctb]
Repository: CRAN
Date/Publication: 2020-06-21 13:40:02 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-16 07:31:50 UTC; unix
Archs: glmm.so.dSYM
