fisherinfoP function

Fisher information matrix of the Poisson log likelihood.

This function calculates the Fisher information matrix needed for the estimation of multistate models using the Fisher scoring algorithm.

fisherinfoP(mu, X)

Arguments

• mu: mu.
• X: design matrix.

Details

This function implements the Fisher scoring matrix (i.e., the second partial derivative of the log partial likelihood with respect to the components of the regression effect vector beta).

Returns

Fisher information matrix info.

Author(s)

Holger Reulen

Examples

## Not run: fisherinfo(mu, X)