Package: saeHB.panel 0.1.0

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:Velia Tri Marliana [aut, cre], Azka Ubaidillah [aut]

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# Install 'saeHB.panel' in R:
install.packages('saeHB.panel', repos = c('https://veliatrimarliana.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/veliatrimarliana/saehb.panel/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • 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

On CRAN:

2 exports 0.63 score 11 dependencies 3 scripts 203 downloads

Last updated 3 years agofrom:cc4e38b852. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winOKSep 11 2024
R-4.5-linuxOKSep 11 2024
R-4.4-winOKSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winOKSep 11 2024
R-4.3-macOKSep 11 2024

Exports:PanelRaoYuAr1

Dependencies:clicodagluelatticelifecyclemagrittrrjagsrlangstringistringrvctrs

An Application to HB Rao yu Model On sampel dataset

Rendered fromPanel.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2022-03-02
Started: 2022-03-02