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saeHB  

Small Area Estimation using Hierarchical Bayesian Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saeHB", "0.2.2")



Attach the package and use:
library("saeHB")
Maintained by
Zaza Yuda Perwira
[Scholar Profile | Author Map]
First Published: 2021-11-02
Latest Update: 2023-11-08
Description:
Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) methods with several univariate distributions for variables of interest. The dataset that is used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) .
How to cite:
Zaza Yuda Perwira (2021). saeHB: Small Area Estimation using Hierarchical Bayesian Method. R package version 0.2.2, https://cran.r-project.org/web/packages/saeHB. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-11-02 09:40), 0.2.0 (2022-02-25 08:50), 0.2.1 (2022-04-08 17:10)
Other packages that cited saeHB R package
View saeHB citation profile
Other R packages that saeHB depends, imports, suggests or enhances
Complete documentation for saeHB
Functions, R codes and Examples using the saeHB R package
Some associated functions: Beta . Binomial . Exponential . ExponentialDouble . Gamma . Logistic . Lognormal . NegativeBinomial . Normal . Poisson . PoissonGamma . Student_t . Student_tnc . Weibull . saeHB . 
Some associated R codes: Beta.R . Binomial.R . Exponential.R . ExponentialDouble.R . Gamma.R . Logistic.R . Lognormal.R . NegativeBinomial.R . Normal.R . Poisson.R . PoissonGamma.R . Student_t.R . Student_tnc.R . Weibull.R . saeHB.R .  Full saeHB package functions and examples
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