llP function

Log Likelihood for Poisson Regression.

Calculates the log likelihood for poisson regression.

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.

Returns

The values of the Poisson log likelihood.

Author(s)

Holger Reulen

Examples

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