newtonRaphsonR: Estimates alpha and beta parameter with Newton Raphson method...

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

Estimates alpha and beta parameter with Newton Raphson method by J.N.K. Rao

Description

Estimates alpha and beta parameter with Newton Raphson method by J.N.K. Rao

Usage

newtonRaphsonR(data.dir, pcap, maxiter, tol)

Arguments

data.dir	Direct estimates of the data from function pcapdir
pcap	weighted sample mean and variance from function pcapdir
maxiter	the Maximum iteration value
tol	Tolerance error value in iteration

Value

This function returns a data frame with following objects :

alpha_cap	an alpha estimator by Newton Raphson method of J.N.K.Rao
beta_cap	an beta estimator by Newton Raphson method of J.N.K.Rao

Examples

## load dataset with no weight value
data(dataEB)
temp = pcapdir(dataEB[,-c(3)])
newtonRaphsonR(data.dir = temp$direst, pcap = temp$pcap,
 maxiter = 100, tol = 0.00001)

##load dataset with weight value
data(dataEB)
temp = pcapdir(dataEB)
newtonRaphsonR(data.dir = temp$direst, pcap = temp$pcap,
 maxiter = 100, tol = 0.00001)

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