https://zhenhua-wang.r-universe.devRecent package updates in zhenhua-wangR-universehttps://github.com/zhenhua-wang.pnghttps://zhenhua-wang.r-universe.devWed, 08 Oct 2025 22:54:10 GMTzhenhua.wang@missouri.edu (Zhenhua Wang)Variational Autoencoded Multivariate Spatial Fay-Herriot models are designed to efficiently estimate population parameters in small area estimation. This package implements the variational generalized multivariate spatial Fay-Herriot model (VGMSFH) using 'NumPyro' and 'PyTorch' backends, as demonstrated by Wang, Parker, and Holan (2025) <doi:10.48550/arXiv.2503.14710>. The 'vmsae' package provides utility functions to load weights of the pretrained variational autoencoders (VAEs) as well as tools to train custom VAEs tailored to users specific applications.https://github.com/r-universe/zhenhua-wang/actions/runs/24023753947Wed, 08 Oct 2025 22:54:10 GMTvmsae0.1.2successhttps://zhenhua-wang.r-universe.devhttps://github.com/zhenhua-wang/vmsae