Description Usage Arguments Details Value Author(s) Examples
Calculates the first partial derivative of the log partial likelihood with respect to the linear predictor.
1 | dlpl(event, b, X, Ri, Ci)
|
event |
non-censoring event indicator. |
b |
vector of regression coefficients |
X |
design matrix |
Ri |
list of length |
Ci |
list of length |
This function calculates the first derivative of the log partial likelihood of a Cox type multistate model.
A vector with the values of the partial first derivatives of the log partial likelihood with respect to the regression effects.
Holger Reulen
1 | ## Not run: dlpl(event, b, X, Ri, Ci)
|
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