vglmer
Variational Inference for Hierarchical Generalized Linear Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.6 |
rolling source/ R- | vglmer_1.0.6.tar.gz |
89.6 KiB |
1.0.6 |
rolling linux/jammy R-4.5 | vglmer_1.0.6.tar.gz |
446.4 KiB |
1.0.6 |
rolling linux/noble R-4.5 | vglmer_1.0.6.tar.gz |
451.8 KiB |
1.0.6 |
latest source/ R- | vglmer_1.0.6.tar.gz |
89.6 KiB |
1.0.6 |
latest linux/jammy R-4.5 | vglmer_1.0.6.tar.gz |
446.4 KiB |
1.0.6 |
latest linux/noble R-4.5 | vglmer_1.0.6.tar.gz |
451.8 KiB |
1.0.6 |
2026-04-23 source/ R- | vglmer_1.0.6.tar.gz |
89.6 KiB |
1.0.6 |
2026-04-09 windows/windows R-4.5 | vglmer_1.0.6.zip |
761.7 KiB |
1.0.6 |
2025-04-20 source/ R- | vglmer_1.0.6.tar.gz |
89.6 KiB |