ptasheq

from scipy.stats import friedmanchisquare, rankdata, norm
from scipy.special import gammaln
import numpy as np


# consistent with https://cran.r-project.org/web/packages/PMCMR/vignettes/PMCMR.pdf p. 17
def test_nemenyi():
    data = np.asarray([(3.88, 5.64, 5.76, 4.25, 5.91, 4.33), (30.58, 30.14, 16.92, 23.19, 26.74, 10.91),
                       (25.24, 33.52, 25.45, 18.85, 20.45, 26.67), (4.44, 7.94, 4.04, 4.4, 4.23, 4.36),
                       (29.41, 30.72, 32.92, 28.23, 23.35, 12), (38.87, 33.12, 39.15, 28.06, 38.23, 26.65)])

alimuldal

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_nemenyi(groups, to_compare=None, alpha=0.05, method='tukey'):
    """

audreyfeldroy

• Update HISTORY.md
• Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

• Update version number (can also be minor or major)

bumpversion patch

nealtodd

from cProfile import Profile
import pstats


def profile(sort_args=['cumulative'], print_args=[10]):
    profiler = Profile()

    def decorator(fn):
        def inner(*args, **kwargs):
            result = None