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.

Last 30 days

This package has been downloaded 549 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,808 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Nov 08, 2024 with 69 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.