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vmsae  

Variational Multivariate Spatial Small Area Estimation
View on CRAN: Click here


Download and install vmsae package within the R console
Install from CRAN:
install.packages("vmsae")

Install from Github:
library("remotes")
install_github("cran/vmsae")

Install by package version:
library("remotes")
install_version("vmsae", "0.1.2")



Attach the package and use:
library("vmsae")
Maintained by
Zhenhua Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-09
Latest Update: 2025-06-21
Description:
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.
How to cite:
Zhenhua Wang (2025). vmsae: Variational Multivariate Spatial Small Area Estimation. R package version 0.1.2, https://cran.r-project.org/web/packages/vmsae. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-05-09 12:30), 0.1.1 (2025-06-21 04:30)
Other packages that cited vmsae R package
View vmsae citation profile
Other R packages that vmsae depends, imports, suggests or enhances
Complete documentation for vmsae
Functions, R codes and Examples using the vmsae R package
Full vmsae package functions and examples
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