sF function

Score vector and Fisher information matrix of the Poisson log likelihood.

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

sF(mu, X, event)

Arguments

• mu: mu.
• X: design matrix.
• event: non-censoring event indicator.

Details

This function implements the score vector and Fisher information matrix.

Returns

s and F.

Author(s)

Holger Reulen

Examples

## Not run: sF(mu, X, event)