statsmodels.base.model.ResultMixin¶
-
class
statsmodels.base.model.
ResultMixin
[source]¶ Methods
aic
()Akaike information criterion bic
()Bayesian information criterion bootstrap
([nrep, method, disp, store])simple bootstrap to get mean and variance of estimator bsejac
()standard deviation of parameter estimates based on covjac bsejhj
()standard deviation of parameter estimates based on covHJH covjac
()covariance of parameters based on outer product of jacobian of log-likelihood covjhj
()covariance of parameters based on HJJH df_modelwc
()Model WC get_nlfun
(fun)This is not Implemented hessv
()cached Hessian of log-likelihood score_obsv
()cached Jacobian of log-likelihood