Package: saeHB.panel 0.1.1
saeHB.panel: Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model
We designed this package to provide several functions for area level of small area estimation using hierarchical Bayesian (HB) method. This package provides model using panel data for variable interest.This package also provides a dataset produced by a data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015).
Authors:
saeHB.panel_0.1.1.tar.gz
saeHB.panel_0.1.1.tar.gz(r-4.5-noble)saeHB.panel_0.1.1.tar.gz(r-4.4-noble)
saeHB.panel_0.1.1.tgz(r-4.4-emscripten)saeHB.panel_0.1.1.tgz(r-4.3-emscripten)
saeHB.panel.pdf |saeHB.panel.html✨
saeHB.panel/json (API)
# Install 'saeHB.panel' in R: |
install.packages('saeHB.panel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/veliatrimarliana/saehb.panel/issues
- dataAr1 - Sample Data for Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model
- dataAr1Ns - Sample Data for Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model with Non Sampled Area
- dataPanel - Sample Data for Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model when 'rho = 0'
- dataPanelNs - Sample Data for Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model when 'rho = 0' with Non Sampled Area
Last updated 3 years agofrom:70a7b90b0f. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
Dependencies:clicodagluelatticelifecyclemagrittrrjagsrlangstringistringrvctrs