statsmodels.duration.hazard_regression.PHReg.robust_covariance#
- PHReg.robust_covariance(params)[source]#
Returns a covariance matrix for the proportional hazards model regression coefficient estimates that is robust to certain forms of model misspecification
- Parameters:
- params
ndarray The parameter vector at which the covariance matrix is calculated.
- params
- Returns:
ndarrayThe robust covariance matrix as a square ndarray.
Notes
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.