PHReg.robust_covariance(params) [source]
Returns a covariance matrix for the proportional hazards model regresion coefficient estimates that is robust to certain forms of model misspecification.
| Parameters: | params (ndarray) – The parameter vector at which the covariance matrix is calculated. |
|---|---|
| Returns: | |
| Return type: | 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.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.duration.hazard_regression.PHReg.robust_covariance.html