scorevectorP: 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.
Value
scorevector.
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).