dlpl {penMSM} | R Documentation |
First derivative of the Log Partial Likelihood.
Description
Calculates the first partial derivative of the log partial likelihood with respect to the linear predictor.
Usage
dlpl(event, b, X, Ri, Ci)
Arguments
event |
non-censoring event indicator. |
b |
vector of regression coefficients |
X |
design matrix |
Ri |
list of length |
Ci |
list of length |
Details
This function calculates the first derivative of the log partial likelihood of a Cox type multistate model.
Value
A vector with the values of the partial first derivatives of the log partial likelihood with respect to the regression effects.
Author(s)
Holger Reulen
Examples
## Not run: dlpl(event, b, X, Ri, Ci)
[Package penMSM version 0.99 Index]