statsmodels.base.model.ResultMixin

class statsmodels.base.model.ResultMixin

Attributes:

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

dot product of Hessian, Jacobian, Jacobian, Hessian of likelihood

name should be covhjh

df_modelwc

Model WC

hessv

cached Hessian of log-likelihood

score_obsv

cached Jacobian of log-likelihood

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