Provides high-performance implementations of Small Area Estimation (SAE) methods leveraging C++ ('Rcpp', 'RcppArmadillo') and 'OpenMP' multi-threading. Supports standard area-level Fay-Herriot models (Fay and Herriot, 1979 <doi:10.1080/01621459.1979.10482505>), Spatial Fay-Herriot models (Pratesi and Salvati, 2008 <doi:10.1002/env.861>), Spatio-Temporal Fay-Herriot models (Marhuenda et al., 2013 <doi:10.1016/j.csda.2013.01.016>), and unit-level Battese-Harter-Fuller models (Battese et al., 1988 <doi:10.1080/01621459.1988.10478561>). Features include empirical best linear unbiased prediction (EBLUP), analytical and bootstrap Mean Squared Error (MSE) estimation, automatic handling of unsampled domains, and modern S3 diagnostic methods.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, ggplot2, lme4, methods, Rcpp, rlang, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | doParallel, dplyr, emdi, foreach, MASS, parallel, sae, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-30 |
| DOI: | 10.32614/CRAN.package.fastsae (may not be active yet) |
| Author: | Ridson Al Farizal P
|
| Maintainer: | Ridson Al Farizal P <alfrzlp at gmail.com> |
| BugReports: | https://github.com/ridsonap/fastsae/issues |
| License: | GPL (≥ 3) |
| URL: | https://ridsonap.github.io/fastsae/, https://github.com/ridsonap/fastsae |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | fastsae results |
| Reference manual: | fastsae.html , fastsae.pdf |
| Vignettes: |
Performance & Scalability Benchmarks (source, R code) Getting Started with fastsae (source, R code) Spatial and Spatio-Temporal Models (source, R code) Unit-Level Estimation with Battese-Harter-Fuller (source, R code) |
| Package source: | fastsae_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): fastsae_0.1.0.tgz, r-oldrel (x86_64): fastsae_0.1.0.tgz |
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