scorevector: Score vector of the log partial likelihood of a multistate
model.
Description
This function calculates the score vector needed for the
estimation of multistate models using the Fisher scoring algorithm.
Usage
scorevector(beta, X, risksetlist, event)
Arguments
beta
vector of regression coefficients.
X
design matrix.
risksetlist
list of length n with vectors as list
elements, with the i-th element being the riskset belonging to the
i-th spell.
event
non-censoring event indicator.
Value
scorevector.
Details
This function implements the score vector (i.e., the
first partial derivative of the log partial likelihood with respect
to the components of the regression effect vector beta).