**Attributes** :
aic : float
Akaike Information Criterion
-2 * llf + 2*(df_model + 1)
bic : float
Bayes Information Criterion
deviance - df_resid * log(nobs)
deviance : float
See statsmodels.family.family for the distribution-specific deviance
functions.
df_model : float
See GLM.df_model
df_resid : float
See GLM.df_resid
fittedvalues : array
Linear predicted values for the fitted model.
dot(exog, params)
llf : float
Value of the loglikelihood function evalued at params.
See statsmodels.family.family for distribution-specific loglikelihoods.
model : class instance
Pointer to GLM model instance that called fit.
mu : array
See GLM docstring.
nobs : float
The number of observations n.
normalized_cov_params : array
See GLM docstring
null_deviance : float
The value of the deviance function for the model fit with a constant
as the only regressor.
params : array
The coefficients of the fitted model. Note that interpretation
of the coefficients often depends on the distribution family and the
data.
pearson_chi2 : array
Pearson’s Chi-Squared statistic is defined as the sum of the squares
of the Pearson residuals.
pinv_wexog : array
See GLM docstring.
resid_anscombe : array
Anscombe residuals. See statsmodels.family.family for distribution-
specific Anscombe residuals.
resid_deviance : array
Deviance residuals. See statsmodels.family.family for distribution-
specific deviance residuals.
resid_pearson : array
Pearson residuals. The Pearson residuals are defined as
(endog - mu)/sqrt(VAR(mu)) where VAR is the distribution
specific variance function. See statsmodels.family.family and
statsmodels.family.varfuncs for more information.
resid_response : array
Respnose residuals. The response residuals are defined as
endog - fittedvalues
resid_working : array
Working residuals. The working residuals are defined as
resid_response/link’(mu). See statsmodels.family.links for the
derivatives of the link functions. They are defined analytically.
scale : array
The estimate of the scale / dispersion for the model fit.
See GLM.fit and GLM.estimate_scale for more information.
stand_errors : array
The standard errors of the fitted GLM. #TODO still named bse
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