Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.
Version: 0.1.2 Depends: R (≥ 4.00) Imports: cli, dplyr, ggplot2, methods, rlang, stats, tidyr Published: 2024-11-18 DOI: 10.32614/CRAN.package.saens Author: Ridson Al Farizal P [aut, cre, cph], Azka Ubaidillah [aut] Maintainer: Ridson Al Farizal P <alfrzlp at gmail.com> BugReports: https://github.com/Alfrzlp/sae-ns/issues License: MIT + file LICENSE URL: https://github.com/Alfrzlp/sae-ns NeedsCompilation: no Materials: README, NEWS CRAN checks: saens results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=saens to link to this page.
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