# statsmodels.base.model.ResultMixin¶

class statsmodels.base.model.ResultMixin[source]

Methods

 Akaike information criterion Bayesian information criterion bootstrap([nrep, method, disp, store]) simple bootstrap to get mean and variance of estimator standard deviation of parameter estimates based on covjac standard deviation of parameter estimates based on covHJH covariance of parameters based on outer product of jacobian of log-likelihood covariance of parameters based on HJJH Model WC get_nlfun(fun) This is not Implemented cached Hessian of log-likelihood cached Jacobian of log-likelihood