ddlpl function

ddlpl.

Second partial derivative of the log partial likelihood with respect to the linear predictor.

ddlpl(b, X, Ri, Ci)

Arguments

• b: vector of regression coefficients.
• X: design matrix.
• Ri: list of length n with vectors as list elements, with the i-th element being the riskset belonging to the i-th spell.
• Ci: list of length n with vectors as list elements, with the i-th element capturing the indexes of risksets in which spell i is included.

Details

This function calculates the second partial derivative of the log partial likelihood.

Returns

A vector with second gradients.

Author(s)

Holger Reulen

Examples

## Not run: ddlpl(b, X, Ri, Ci)