fastsae: Fast Implementation of Small Area Estimation Methods

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 ORCID iD [aut, cre, cph], Azka Ubaidillah ORCID iD [aut]
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

Documentation:

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)

Downloads:

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

Linking:

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