Package: vglmer
Type: Package
Title: Variational Inference for Hierarchical Generalized Linear Models
Version: 1.0.6
Authors@R: person("Max", "Goplerud", email = "mgoplerud@austin.utexas.edu", 
    role = c("aut", "cre"))
Encoding: UTF-8
License: GPL (>= 2)
Description: Estimates hierarchical models using variational inference. 
    At present, it can estimate logistic, linear, and negative binomial models. 
    It can accommodate models with an arbitrary number of random effects and 
    requires no integration to estimate. It also provides the ability to improve 
    the quality of the approximation using marginal augmentation. 
    Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035> 
    provide details on the variational algorithms.
Imports: Rcpp (>= 1.0.1), lme4, CholWishart, mvtnorm, Matrix, stats,
        graphics, methods, lmtest, splines, mgcv
Depends: R (>= 3.0.2)
Suggests: SuperLearner, MASS, tictoc, testthat, gKRLS
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.4.0)
URL: https://github.com/mgoplerud/vglmer
BugReports: https://github.com/mgoplerud/vglmer/issues
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2024-11-07 22:25:33 UTC; Max
Author: Max Goplerud [aut, cre]
Maintainer: Max Goplerud <mgoplerud@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2024-11-07 23:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 13:02:28 UTC; unix
Archs: vglmer.so.dSYM
