fast

brunnermunzel(x, y[, axis, nan_policy])	Compute the Brunner-Munzel test statistic for two independent samples.
concatenate_arrays(arrays[, axis])	Concatenate arrays along a specified axis, filling in empty arrays with nan values.
mean_diff(group1, group2[, axis, xp])	Calculate the mean difference between two groups.
mixup(arr, obs_axis[, alpha, rng])	Replace rows along the observation axis that are “missing” (i.e. contain
norm(arr[, obs_axis])	Oversample by obtaining the distribution and randomly selecting
ttest(group1, group2, axis[, xp])	Calculate the t-statistic between two groups.