Returns a covariance matrix for the proportional hazards model regresion coefficient estimates that is robust to certain forms of model misspecification.
params : ndarray
The parameter vector at which the covariance matrix is calculated.
The robust covariance matrix as a square ndarray.
This function uses the groups argument to determine groups within which observations may be dependent. The covariance matrix is calculated using the Huber-White “sandwich” approach.