Package: fastsae Type: Package Title: Fast Implementation of Small Area Estimation Methods Version: 0.1.0 Authors@R: c( person("Ridson", "Al Farizal P", role = c("aut", "cre","cph"), email = "alfrzlp@gmail.com", comment = c(ORCID = "0000-0003-0617-0214")), person("Azka", "Ubaidillah", role = "aut", email = "azka@stis.ac.id", comment = c(ORCID = "0000-0002-3597-0459")) ) Description: 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 ), Spatial Fay-Herriot models (Pratesi and Salvati, 2008 ), Spatio-Temporal Fay-Herriot models (Marhuenda et al., 2013 ), and unit-level Battese-Harter-Fuller models (Battese et al., 1988 ). 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. License: GPL (>= 3) URL: https://ridsonap.github.io/fastsae/, https://github.com/ridsonap/fastsae BugReports: https://github.com/ridsonap/fastsae/issues Encoding: UTF-8 LazyData: true Imports: cli, ggplot2, lme4, methods, Rcpp, rlang, stats, utils Suggests: doParallel, dplyr, emdi, foreach, MASS, parallel, sae, knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr LinkingTo: Rcpp, RcppArmadillo Depends: R (>= 4.1.0) Collate: utils.R RcppExports.R data.R methods.R autoplot.R eblup_fh.R eblup_sfh.R eblup_stfh.R eblup_bhf.R Config/roxygen2/version: 8.0.0 Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-09-30 14:08:31 UTC; root Author: Ridson Al Farizal P [aut, cre, cph] (ORCID: ), Azka Ubaidillah [aut] (ORCID: ) Maintainer: Ridson Al Farizal P Repository: https://cran.r-universe.dev Date/Publication: 2026-09-30 13:55:26 UTC RemoteUrl: https://github.com/cran/fastsae RemoteRef: HEAD RemoteSha: ff38bc1faf1588c81590b9d717892efb343d2ae6