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>.
| 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:
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