Standard Errors assume that the covariance matrix of the errors is correctly specified.


    Class to contain GLM results.

    GLMResults inherits from statsmodels.LikelihoodModelResults

    Attributes
    ----------
    df_model : float
        See GLM.df_model
    df_resid : float
        See GLM.df_resid
    fit_history : dict
        Contains information about the iterations. Its keys are `iterations`,
        `deviance` and `params`.
    model : class instance
        Pointer to GLM model instance that called fit.
    nobs : float
        The number of observations n.
    normalized_cov_params : ndarray
        See GLM docstring
    params : ndarray
        The coefficients of the fitted model.  Note that interpretation
        of the coefficients often depends on the distribution family and the
        data.
    pvalues : ndarray
        The two-tailed p-values for the parameters.
    scale : float
        The estimate of the scale / dispersion for the model fit.
        See GLM.fit and GLM.estimate_scale for more information.
    stand_errors : ndarray
        The standard errors of the fitted GLM.   #TODO still named bse

    See Also
    --------
    statsmodels.base.model.LikelihoodModelResults
    