saeHB

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 Univariate Normal distribution and Univariate Beta distribution for variables of 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).

Functions

• Beta() Produces HB estimators, standard error, random effect variance, coefficient and plot under beta distribution.
• Normal() Produces HB estimators, standard error, random effect variance, coefficient and plot under Normal distribution.

References

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