alphabetaEB: Estimates alpha and beta parameter to obtain EB estimator

In saebnocov: Small Area Estimation using Empirical Bayes without Auxiliary Variable

Estimates alpha and beta parameter to obtain EB estimator

Description

Estimates alpha and beta parameter to obtain EB estimator

Usage

alphabetaEB(data.dir, pcap, method, opt, maxiter, tol)

Arguments

data.dir	Direct estimates of the data from function pcapdir
pcap	weighted sample mean and variance from function pcapdir
method	Method to estimate alpha and beta parameter according to person(rao or claire)
opt	Method to estimate alpha and beta parameter according to the way of calculation (moment or nr)
maxiter	the Maximum iteration value
tol	Tolerance error value at iteration

Value

This function returns a data frame with following objects :

alpha_cap	an alpha estimator by user's choice method
beta_cap	an beta estimator by user's choice method

Examples

## load dataset with no weight value
data(dataEB)
temp = pcapdir(dataEB[,-c(3)])
## estimates alpha and beta parameter
## in EB estimate with Moment method by J.N.K.Rao
alphabetaEB(data.dir = temp$direst ,pcap = temp$pcap,
method = "rao", opt = "moment",maxiter = 100,tol = 0.00001)

##load dataset with weight value
data(dataEB)
temp = pcapdir(dataEB)
## estimates alpha and beta parameter
## in EB estimate with Moment method by Claire E.B.O.
alphabetaEB(data.dir = temp$direst ,pcap = temp$pcap,
method = "claire", opt = "moment",maxiter = 100,tol = 0.00001)

saebnocov documentation built on Sept. 5, 2022, 9:07 a.m.