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statsmodels.discrete.discrete_model.DiscreteResults.summary2

DiscreteResults.summary2(yname=None, xname=None, title=None, alpha=0.05, float_format='%.4f')[source]

Experimental function to summarize regression results

Parameters:

xname : List of strings of length equal to the number of parameters

Names of the independent variables (optional)

yname : string

Name of the dependent variable (optional)

title : string, optional

Title for the top table. If not None, then this replaces the default title

alpha : float

significance level for the confidence intervals

float_format: string :

print format for floats in parameters summary

Returns:

smry : Summary instance

this holds the summary tables and text, which can be printed or converted to various output formats.

See also

statsmodels.iolib.summary.Summary
class to hold summary results

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