smallarea-package: Fits a Fay Herriot model

Description Details Author(s) References Examples

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<[email protected]>

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

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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")

Example output

Loading required package: MASS
  response   D
1        1 0.2
2        2 0.5
3        3 0.1
4        4 0.9
5        8 1.0

smallarea documentation built on May 2, 2019, 5:11 a.m.