smallarea-package {smallarea} | R Documentation |
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<nandy006@umn.edu>
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")
[Package smallarea version 0.1 Index]