statsmodels.base.model.ResultMixin

class statsmodels.base.model.ResultMixin

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