Login Register

RLM.hessian()

statsmodels.robust.robust_linear_model.RLM.hessian

RLM.hessian(params): The Hessian matrix of the model

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.robust.robust_linear_model.RLM.hessian.html

doc_statsmodels

2017-01-18 16:15:05

Comments

Leave a Comment

Please login to continue.

Popular Articles

RLM.information() statsmodels.robust.robust_linear_model.RLM.information RLM.information(params) [source]

RLM.initialize() statsmodels.robust.robust_linear_model.RLM.initialize RLM.initialize() Initialize (possibly re-initialize) a Model instance. For instance, the des

RLM.fit() statsmodels.robust.robust_linear_model.RLM.fit RLM.fit(maxiter=50, tol=1e-08, scale_est='mad', init=None, cov='H1', update_scale=True, conv='dev') [

RLM.predict() statsmodels.robust.robust_linear_model.RLM.predict RLM.predict(params, exog=None) [source] Return linear predicted values from a design matrix. Pa

RLM.deviance() statsmodels.robust.robust_linear_model.RLM.deviance RLM.deviance(tmp_results) [source] Returns the (unnormalized) log-likelihood from the M estima