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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.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 1.0.1), lme4, CholWishart, mvtnorm, Matrix, stats, graphics, methods, lmtest, splines, mgcv |
| LinkingTo: | Rcpp, RcppEigen (≥ 0.3.3.4.0) |
| Suggests: | SuperLearner, MASS, tictoc, testthat, gKRLS |
| Published: | 2024-11-07 |
| DOI: | 10.32614/CRAN.package.vglmer |
| Author: | Max Goplerud [aut, cre] |
| Maintainer: | Max Goplerud <mgoplerud at austin.utexas.edu> |
| BugReports: | https://github.com/mgoplerud/vglmer/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/mgoplerud/vglmer |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | Bayesian, MixedModels |
| CRAN checks: | vglmer results |
| Reference manual: | vglmer.pdf |
| Package source: | vglmer_1.0.6.tar.gz |
| Windows binaries: | r-devel: vglmer_1.0.6.zip, r-release: vglmer_1.0.6.zip, r-oldrel: vglmer_1.0.6.zip |
| macOS binaries: | r-release (arm64): vglmer_1.0.6.tgz, r-oldrel (arm64): vglmer_1.0.6.tgz, r-release (x86_64): vglmer_1.0.6.tgz, r-oldrel (x86_64): vglmer_1.0.6.tgz |
| Old sources: | vglmer archive |
| Reverse imports: | autoMrP |
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