matrixClaire: Matrix G in Newton Raphson method by Claire E.B.O.

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

Matrix G in Newton Raphson method by Claire E.B.O.

Description

Matrix G in Newton Raphson method by Claire E.B.O.

Usage

matrixClaire(alpha, beta)

Arguments

alpha	An alpha estimate value on iterating process
beta	A beta estimate value on iterating process

Value

This function returns a value of matrix G.

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
temp1 = alphabetaEB(data.dir = temp$direst ,pcap = temp$pcap,
                      method = "rao", opt = "moment",
                      maxiter = 100,tol = 0.00001)

##calculates matrix G
matrixClaire(alpha = temp1$alpha_cap, beta = temp1$beta_cap)

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