llP {penMSM}

Log Likelihood for Poisson Regression.

Description

Calculates the log likelihood for poisson regression.

Usage

llP(beta, X, event, offset)

Arguments

beta

vector of regression coefficients.

X

design matrix.

event

non-censoring event indicator.

offset

offset.

Details

This function calculates the Poisson log likelihood.

Value

The values of the Poisson log likelihood.

Author(s)

Holger Reulen

Examples

## Not run: llP(beta, X, event, offset)