# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "fastsae" in publications use:' type: software license: GPL-3.0-or-later title: 'fastsae: Fast Implementation of Small Area Estimation Methods' version: 0.1.0 abstract: 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. authors: - family-names: Al Farizal P given-names: Ridson email: alfrzlp@gmail.com orcid: https://orcid.org/0000-0003-0617-0214 - family-names: Ubaidillah given-names: Azka email: azka@stis.ac.id orcid: https://orcid.org/0000-0002-3597-0459 repository: https://cran.r-universe.dev repository-code: https://github.com/ridsonap/fastsae commit: ff38bc1faf1588c81590b9d717892efb343d2ae6 url: https://ridsonap.github.io/fastsae/ date-released: '2026-09-30' contact: - family-names: Al Farizal P given-names: Ridson email: alfrzlp@gmail.com orcid: https://orcid.org/0000-0003-0617-0214