Nothing
saens: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
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>.
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Package details |
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| Author | Ridson Al Farizal P [aut, cre, cph] (<https://orcid.org/0000-0003-0617-0214>), Azka Ubaidillah [aut] (<https://orcid.org/0000-0002-3597-0459>) |
| Maintainer | Ridson Al Farizal P <alfrzlp@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/Alfrzlp/sae-ns |
| Package repository | View on CRAN |
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