statsmodels.base.model.ResultMixin¶

class statsmodels.base.model.ResultMixin[source]¶

Methods

`bootstrap`([nrep, method, disp, store])	simple bootstrap to get mean and variance of estimator
`get_nlfun`(fun)	This is not Implemented

Methods

`bootstrap`([nrep, method, disp, store])	simple bootstrap to get mean and variance of estimator
`get_nlfun`(fun)	This is not Implemented

Properties

`aic`	Akaike information criterion
`bic`	Bayesian information criterion
`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
`hessv`	cached Hessian of log-likelihood
`score_obsv`	cached Jacobian of log-likelihood