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vmsae

0.1.2

Variational Multivariate Spatial Small Area Estimation

0packages depend
2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Zhenhua WangFirst published 2025-05-093 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
40%
Documented parameters
100%
Return-value docs
100%
References docs
8%

Downloads

2K
CRAN downloads in the past year
Rank #21,204 · ~6/day · ~169/mo
Daily download trend is not available in this view yet.
Also on116 r2u3 autocran

Repository

Repository
4Stars
0Forks
0Open issues
0Open PRs
0Releases
76Commits
1Contributors
76 commits · Last activity 2026-07-25

Commits over time

2026-07-19 · 742026-07-26 · 76

Repository practices

Upstream repositoryBeta

Checks run against github.com/zhenhua-wang/vmsae on 2026-08-03.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author, res
Author, res
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2025-10-09 · current release · diff ↗
  • 0.1.1
    2025-06-21 · diff ↗
  • 0.1.0
    2025-05-09
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-05-09
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
1.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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