fisherinfoP: Fisher information matrix of the Poisson log likelihood.

Description Usage Arguments Details Value Author(s) Examples

Description

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

Usage

1
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).

Value

Fisher information matrix info.

Author(s)

Holger Reulen

Examples

1
## Not run: fisherinfo(mu, X)

Example output



penMSM documentation built on May 2, 2019, 11:06 a.m.

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