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"""
===================================================================
Statistical functions for masked arrays (:mod:`scipy.stats.mstats`)
===================================================================
.. currentmodule:: scipy.stats.mstats
This module contains a large number of statistical functions that can
be used with masked arrays.
Most of these functions are similar to those in scipy.stats but might
have small differences in the API or in the algorithm used. Since this
is a relatively new package, some API changes are still possible.
.. autosummary::
:toctree: generated/
argstoarray
betai
chisquare
count_tied_groups
describe
f_oneway
f_value_wilks_lambda
find_repeats
friedmanchisquare
kendalltau
kendalltau_seasonal
kruskalwallis
ks_twosamp
kurtosis
kurtosistest
linregress
mannwhitneyu
plotting_positions
mode
moment
mquantiles
msign
normaltest
obrientransform
pearsonr
plotting_positions
pointbiserialr
rankdata
scoreatpercentile
sem
signaltonoise
skew
skewtest
spearmanr
theilslopes
threshold
tmax
tmean
tmin
trim
trima
trimboth
trimmed_stde
trimr
trimtail
tsem
ttest_onesamp
ttest_ind
ttest_onesamp
ttest_rel
tvar
variation
winsorize
zmap
zscore
compare_medians_ms
gmean
hdmedian
hdquantiles
hdquantiles_sd
hmean
idealfourths
kruskal
ks_2samp
median_cihs
meppf
mjci
mquantiles_cimj
rsh
sen_seasonal_slopes
trimmed_mean
trimmed_mean_ci
trimmed_std
trimmed_var
ttest_1samp
"""
from __future__ import division, print_function, absolute_import
from .mstats_basic import *
from .mstats_extras import *
# Functions that support masked array input in stats but need to be kept in the
# mstats namespace for backwards compatibility:
from scipy.stats import gmean, hmean, zmap, zscore, chisquare
|
