myLLfun {ELYP} R Documentation

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

### Description

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

### Usage

myLLfun(mle, dataMat, fun)


### Arguments

 mle a vector of length 3, containing the parameter values: beta1, beta2 and lam. They do not have to be the MLE. dataMat a matrix of 4 by n. But the 4th row do not matter, since alpha=0 here always. fun a function, used in the definition of int f(t)dH(t)= Mulam.

### Details

We assume a Y-P model. and with the given parameters (in the input mle) we compute the baseline hazard and compute the (parameter constrained) empirical likelihood value.

### 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.

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)


[Package ELYP version 0.7-5 Index]