saeHB {saeHB}

saeHB : Small Area Estimation using Hierarchical Bayesian Method

Description

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) <doi:10.1002/9781118735855>.

Author(s)

Azka Ubaidillah [e-mail], Ika Yuni Wulansari [e-mail], Zaza Yuda Perwira [e-mail]

Maintainer: Zaza Yuda Perwira [e-mail]

Functions

Beta

Produces HB estimators, standard error, random effect variance, coefficient and plot under beta distribution

Binomial

Produces HB estimators, standard error, random effect variance, coefficient and plot under binomial distribution

Exponential

Produces HB estimators, standard error, random effect variance, coefficient and plot under exponential distribution

ExponentialDouble

Produces HB estimators, standard error, random effect variance, coefficient and plot double exponential distribution

Gamma

Produces HB estimators, standard error, random effect variance, coefficient and plot under Gamma distribution

Logistic

Produces HB estimators, standard error, random effect variance, coefficient and plot under logistic distribution

Lognormal

Produces HB estimators, standard error, random effect variance, coefficient and plot under lognormal distribution

NegativeBinomial

Produces HB estimators, standard error, random effect variance, coefficient and plot under negative binomial distribution

Normal

Produces HB estimators, standard error, random effect variance, coefficient and plot under normal distribution

Poisson

Produces HB estimators, standard error, random effect variance, coefficient and plot under poisson distribution

PoissonGamma

Produces HB estimators, standard error, random effect variance, coefficient and plot under poisson gamma distribution

Student_t

Produces HB estimators, standard error, random effect variance, coefficient and plot under student-t distribution

Student_tnc

Produces HB estimators, standard error, random effect variance, coefficient and plot under student-t (not central) distribution

Weibull

Produces HB estimators, standard error, random effect variance, coefficient and plot under weibull distribution

Reference

• Rao, J.N.K & Molina. (2015). Small Area Estimation 2nd Edition. New York: John Wiley and Sons, Inc. <doi:10.1002/9781118735855>.