myLLfun2 {ELYP}

Compute Baseline Hazard for the Given Data and Parameters beta1, beta2, alpha, lam. Also Compute the empirical likelihood value.

Description

This function is similar to fitYP3. Just streamline input and output.

Usage

myLLfun2(mle, dataMat, fun)

Arguments

mle

a vector of length 4, containing the parameter values beta1, beta2, alpha, and lam. They do not have to be MLE.

dataMat

a matrix of 4 by n. They are (Y d X Z).

fun

a function, used in define the int f(t)dH(t)= Mulam.

Details

We assume a Y-P model. Say something.

Value

A list with the following components:

Mulam

The value of int f(t) d H(t) for corresponding lam. Notice lam, beta1, beta2 determine the baseline H(t).

Loglik

The log empirical likelihood.

Author(s)

Mai Zhou

References

Zhou, M. (2002). Computing censored empirical likelihood ratio by EM algorithm. Tech Report, Univ. of Kentucky, Dept of Statistics

Examples

## censored regression with one right censored observation.
## we check the estimation equation, with the MLE inside myfun7. 
y <- c(3, 5.3, 6.4, 9.1, 14.1, 15.4, 18.1, 15.3, 14, 5.8, 7.3, 14.4)
x <- c(1, 1.5, 2,   3,   4,    5,    6,    5,    4,  1,   2,   4.5)
d <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0)