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saeHB

Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) method with several univariate distributions for variable of interest. The dataset that used in every function is generated accordingly in the Example. 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).

References

  • Rao, J.N.K & Molina. (2015). Small Area Estimation 2nd Edition. New York: John Wiley and Sons, Inc.

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Install

install.packages('saeHB')

Monthly Downloads

265

Version

0.2.2

License

GPL-3

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Maintainer

Zaza Yuda Perwira

Last Published

November 8th, 2023

Functions in saeHB (0.2.2)

Student_tnc

Small Area Estimation using Hierarchical Bayesian under Student-t (non central) Distribution
Weibull

Small Area Estimation using Hierarchical Bayesian under Weibull Distribution
saeHB

saeHB : Small Area Estimation using Hierarchical Bayesian Method
Lognormal

Small Area Estimation using Hierarchical Bayesian under Lognormal Distribution
Exponential

Small Area Estimation using Hierarchical Bayesian under Exponential Distribution
NegativeBinomial

Small Area Estimation using Hierarchical Bayesian under Negative Binomial Distribution
Logistic

Small Area Estimation using Hierarchical Bayesian under Logistic Distribution
ExponentialDouble

Small Area Estimation using Hierarchical Bayesian under Double Exponential Distribution
Poisson

Small Area Estimation using Hierarchical Bayesian under Poisson Distribution
Gamma

Small Area Estimation using Hierarchical Bayesian under Gamma Distribution
Beta

Small Area Estimation using Hierarchical Bayesian under Beta Distribution
Normal

Small Area Estimation using Hierarchical Bayesian under Normal Distribution
Binomial

Small Area Estimation using Hierarchical Bayesian under Binomial Distribution
PoissonGamma

Small Area Estimation using Hierarchical Bayesian under Poisson Gamma Distribution
Student_t

Small Area Estimation using Hierarchical Bayesian under Student-t Distribution