Package: vmsae 0.1.2
Zhenhua Wang
vmsae: Variational Multivariate Spatial Small Area Estimation
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.
Authors:
vmsae_0.1.2.tar.gz
vmsae_0.1.2.zip(r-4.7)vmsae_0.1.2.zip(r-4.6)vmsae_0.1.2.zip(r-4.5)
vmsae_0.1.2.tgz(r-4.6-any)vmsae_0.1.2.tgz(r-4.5-any)
vmsae_0.1.2.tar.gz(r-4.6-any)
vmsae_0.1.2.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vmsae/json (API)
| # Install 'vmsae' in R: |
| install.packages('vmsae', repos = c('https://zhenhua-wang.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zhenhua-wang/vmsae/issues
Last updated from:dbc598dfce. Checks:9 OK. Indexed: yes.
The latest version of this package failed to build. Look at thebuild logs for more information.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 165 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 166 | ||
| macos-release-arm64 | OK | 180 | ||
| macos-oldrel-arm64 | OK | 195 | ||
| windows-devel | OK | 111 | ||
| windows-release | OK | 107 | ||
| windows-oldrel | OK | 137 | ||
| wasm-release | OK | 128 |
Exports:coefconfintdownload_pretrained_vaeinstall_environmentload_environmentload_vaeplotsummarytrain_vaevgmsfh_numpyro
Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsggplot2gluegridExtragtablehereisobandjsonliteKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigpngproxypurrrR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojroots2S7scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract Coefficients from a VGMSFH Object | coef,VGMSFH-method |
| Compute Credible Intervals for VGMSFH Parameters | confint,VGMSFH-method |
| Decoder S4 Class | Decoder-class |
| Download and Extract a Pretrained VAE Model | download_pretrained_vae |
| Install python environment. | install_environment |
| Load Python Environment and Source Model Modules | load_environment |
| Load Pretrained VAE Decoder | load_vae |
| Plot VGMSFH Result | plot,VGMSFH-method |
| Summarize VGMSFH Result | summary,VGMSFH-method |
| Train VAE for CAR Prior | train_vae |
| Run VGMSFH Using NumPyro | vgmsfh_numpyro |
| VGMSFH S4 Class | VGMSFH-class |