Package: vglmer
Type: Package
Title: Variational Inference for Hierarchical Generalized Linear Models
Version: 1.0.7
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: 7.3.3
Config/pak/sysreqs: cmake make
Repository: https://mgoplerud.r-universe.dev
Date/Publication: 2025-11-09 21:18:01 UTC
RemoteUrl: https://github.com/mgoplerud/vglmer
RemoteRef: HEAD
RemoteSha: 76c18849b06929243629ab0ef59bec02a383b953
NeedsCompilation: yes
Packaged: 2026-07-07 07:47:02 UTC; root
Author: Max Goplerud [aut, cre]
Maintainer: Max Goplerud <mgoplerud@austin.utexas.edu>