Login Register

PHReg.breslow_gradient()

statsmodels.duration.hazard_regression.PHReg.breslow_gradient

PHReg.breslow_gradient(params) [source]: Returns the gradient of the log partial likelihood, using the Breslow method to handle tied times.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.duration.hazard_regression.PHReg.breslow_gradient.html

doc_statsmodels

2017-01-18 16:13:33

Comments

Leave a Comment

Please login to continue.

Popular Articles

PHReg.breslow_loglike() statsmodels.duration.hazard_regression.PHReg.breslow_loglike PHReg.breslow_loglike(params) [source] Returns the value of the log partial likelihoo

PHReg.breslow_hessian() statsmodels.duration.hazard_regression.PHReg.breslow_hessian PHReg.breslow_hessian(params) [source] Returns the Hessian of the log partial likelih

PHReg.efron_gradient() statsmodels.duration.hazard_regression.PHReg.efron_gradient PHReg.efron_gradient(params) [source] Returns the gradient of the log partial likeliho

gradient gradient skimage.filters.rank.gradient(image, selem, out=None, mask=None, shift_x=False, shift_y=False) [source] Return local gradient of an image

numpy.gradient() numpy.gradient(f, *varargs, **kwargs) [source] Return the gradient of an N-dimensional array. The gradient is computed using second order accurat