scorevectorP {penMSM}R Documentation

Score vector of the Poisson log likelihood.

Description

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

Usage

scorevectorP(mu, X, event)

Arguments

mu

mu.

X

design matrix.

event

non-censoring event indicator.

Details

This function implements the score vector (i.e., the first partial derivative of the Poisson log likelihood with respect to the components of the regression effect vector beta).

Value

Score vector scorevector.

Author(s)

Holger Reulen

Examples

## Not run: scorevectorP(beta, X, event)

[Package penMSM version 0.99 Index]