smallarea-package {smallarea}

Fits a Fay Herriot model

Description

It has some useful functions which the users might find convenient for fitting Fay Herriot Model. Details are included in package vignette.

Details

Package:	smallarea
Type:	Package
Version:	0.1
Date:	2013-04-25
License:	GPL(>=2)

Author(s)

Abhishek Nandy

Maintainer: Abhishek nandy<[e-mail]>

References

On measuring the variability of small area estimators under a basic area level model. Datta, Rao, Smith. Biometrika(2005),92, 1,pp. 183-196 Large Sample Techniques for Statistics, Springer Texts in Statistics. Jiming Jiang. Chapters - 4,12 and 13. Small Area Estimation, JNK Rao, Wiley 2003 Variance Components, Wiley Series in Probability and Statistics,2006 Searle, Casella, Mc-Culloh

Examples

data=data.frame(response=c(1,2,3,4,8),D=c(0.2,0.5,0.1,0.9,1))
data
ans=smallareafit(response~D,data,method="FH")
ans1=smallareafit(response~D,data,method="REML")
ans2=smallareafit(response~D,data,method="PR")
ans3=smallareafit(response~D,data,method="ML")