statsmodels.stats.nonparametric.RankCompareResult

class statsmodels.stats.nonparametric.RankCompareResult(tuple_=None, **kwds)

Results for rank comparison

This is a subclass of HolderTuple that includes results from intermediate computations, as well as methods for hypothesis tests, confidence intervals and summary.

Methods

conf_int([value, alpha, alternative])	Confidence interval for probability that sample 1 has larger values
confint_lintransf([const, slope, alpha, ...])	confidence interval of a linear transformation of prob1
effectsize_normal([prob])	Cohen's d, standardized mean difference under normality assumption.
summary([alpha, xname])	summary table for probability that random draw x1 is larger than x2
test_prob_superior([value, alternative])	test for superiority probability
tost_prob_superior(low, upp)	test of stochastic (non-)equivalence of p = P(x1 > x2)