class statsmodels.stats.contrast.ContrastResults(t=None, F=None, sd=None, effect=None, df_denom=None, df_num=None, alpha=0.05, **kwds)[source]

Class for results of tests of linear restrictions on coefficients in a model.

This class functions mainly as a container for t_test, f_test and wald_test for the parameters of a model.

The attributes depend on the statistical test and are either based on the normal, the t, the F or the chisquare distribution.


conf_int([alpha]) Returns the confidence interval of the value, effect of the constraint.
summary([xname, alpha, title]) Summarize the Results of the hypothesis test
summary_frame([xname, alpha]) Return the parameter table as a pandas DataFrame

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