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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "vmsae" in publications use:'
type: software
license: MIT
title: 'vmsae: Variational Multivariate Spatial Small Area Estimation'
version: 0.1.2
doi: 10.32614/CRAN.package.vmsae
abstract: 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) <https://doi.org/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.
authors:
- family-names: Wang
  given-names: Zhenhua
  email: zhenhua.wang@missouri.edu
- family-names: Parker
  given-names: Paul A.
  email: pparker1@ucsc.edu
- family-names: Holan
  given-names: Scott H.
  email: holans@missouri.edu
repository: https://zhenhua-wang.r-universe.dev
repository-code: https://github.com/zhenhua-wang/vmsae
commit: dbc598dfce06657b40fdf0bd448ec660bb082bbb
url: https://github.com/zhenhua-wang/vmsae
date-released: '2025-10-08'
contact:
- family-names: Wang
  given-names: Zhenhua
  email: zhenhua.wang@missouri.edu