Package: saeHB.twofold 0.1.2
Reyhan Saadi
saeHB.twofold: Hierarchical Bayes Twofold Subarea Level Model SAE
We designed this package to provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Univariate Normal distribution for variables of interest. Some dataset simulated by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates using Gibbs Sampling algorithm. Model-based estimators involves the HB estimators which include the mean, the variation of mean, and the quantile. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
Authors:
saeHB.twofold_0.1.2.tar.gz
saeHB.twofold_0.1.2.tar.gz(r-4.5-noble)saeHB.twofold_0.1.2.tar.gz(r-4.4-noble)
saeHB.twofold_0.1.2.tgz(r-4.4-emscripten)saeHB.twofold_0.1.2.tgz(r-4.3-emscripten)
saeHB.twofold.pdf |saeHB.twofold.html✨
saeHB.twofold/json (API)
| # Install 'saeHB.twofold' in R: |
| install.packages('saeHB.twofold', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/reymath99/saehb.twofold/issues
- dataTwofold - Simulated dataset Under Two Fold Subarea level model with Normal distribution.
- dataTwofoldNS - Simulated dataset Under Two Fold Subarea level model with Normal distribution and Non-sampled subarea
Last updated 28 days agofrom:652e9fe119. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux | OK | Nov 28 2024 |
Exports:NormalTF
Dependencies:clicodadata.tablegluelatticelifecyclemagrittrrjagsrlangstringistringrvctrs
