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saeHB.panel  

Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model
View on CRAN: Click here


Download and install saeHB.panel package within the R console
Install from CRAN:
install.packages("saeHB.panel")

Install from Github:
library("remotes")
install_github("cran/saeHB.panel")

Install by package version:
library("remotes")
install_version("saeHB.panel", "0.1.1")



Attach the package and use:
library("saeHB.panel")
Maintained by
Velia Tri Marliana
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-03
Latest Update: 2022-05-10
Description:
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).
How to cite:
Velia Tri Marliana (2022). saeHB.panel: Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model. R package version 0.1.1, https://cran.r-project.org/web/packages/saeHB.panel
Previous versions and publish date:
0.1.0 (2022-03-03 10:00)
Other packages that cited saeHB.panel R package
View saeHB.panel citation profile
Other R packages that saeHB.panel depends, imports, suggests or enhances
Functions, R codes and Examples using the saeHB.panel R package
Some associated functions: Panel . RaoYuAr1 . dataAr1 . dataAr1Ns . dataPanel . dataPanelNs . 
Some associated R codes: Panel.R . RaoYuAr1.R . dataAr1.R . dataAr1Ns.R . dataPanel.R . dataPanelNs.R .  Full saeHB.panel package functions and examples
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