statsmodels.stats.contrast.ContrastResults¶
- 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.
Methods
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
Properties
normal