Replication Data for: Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inferencedoi:10.7910/DVN/DI19IBHarvard Dataverse2021-03-231Goplerud, Max, 2021, "Replication Data for: Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference", https://doi.org/10.7910/DVN/DI19IB, Harvard Dataverse, V1Replication Data for: Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inferencedoi:10.7910/DVN/DI19IBGoplerud, MaxHarvard DataverseGoplerud, MaxGoplerud, Max2021-03-06Social SciencesReplication data for the results in Goplerud (2021) "Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference".The R package to estimate the variational models can be installed from https://github.com/mgoplerud/vglmer The original data from Ghitza and Gelman (2013) should be downloaded from their dataverse: https://doi.org/10.7910/DVN/PZAOO6 The README file provides a description of the files and data structure. An ungated link to the paper can be found here: https://arxiv.org/abs/2007.12300<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>README.mdReadme; also inside zip filetext/markdownreplication_data.zipCode needed to replicate the entire project.application/zip