2.7.1.1.8. 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)

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.

__init__(t=None, F=None, sd=None, effect=None, df_denom=None, df_num=None, alpha=0.05, **kwds)

Methods

__init__([t, F, sd, effect, df_denom, ...])
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