A results class for the discrete dependent variable models.
Parameters: | model : A DiscreteModel instance params : array-like
hessian : array-like
scale : float
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Returns: | *Attributes* : aic : float
bic : float
bse : array
df_resid : float
df_model : float
fitted_values : array
llf : float
llnull : float
llr : float
llr_pvalue : float
prsquared : float
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Methods
margeff([params, at, method, atexog, dummy, ...]) | Get marginal effects of the fitted model. |
conf_int([alpha, cols]) | Returns the confidence interval of the fitted parameters. |