vglmer

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.

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