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
|
| 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:
| Reference manual: | saens.pdf |
Downloads:
| Package source: | saens_0.1.2.tar.gz |
| Windows binaries: | r-devel: saens_0.1.2.zip, r-release: saens_0.1.2.zip, r-oldrel: saens_0.1.2.zip |
| macOS binaries: | r-release (arm64): saens_0.1.2.tgz, r-oldrel (arm64): saens_0.1.2.tgz, r-release (x86_64): saens_0.1.2.tgz, r-oldrel (x86_64): saens_0.1.2.tgz |
| Old sources: | saens archive |
Linking:
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