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statsmodels / stats / api.py
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# pylint: disable=W0611
# flake8: noqa
from . import diagnostic
from .diagnostic import (
    acorr_ljungbox, acorr_breusch_godfrey,
    CompareCox, compare_cox, CompareJ, compare_j,
    HetGoldfeldQuandt, het_goldfeldquandt,
    het_breuschpagan, het_white, het_arch,
    linear_harvey_collier, linear_rainbow, linear_lm,
    breaks_cusumolsresid, breaks_hansen, recursive_olsresiduals,
    unitroot_adf,
    normal_ad, lilliefors
)

from ._knockoff import RegressionFDR
from . import multicomp
from .multitest import (multipletests, fdrcorrection, fdrcorrection_twostage,
                        local_fdr, NullDistribution)
from .multicomp import tukeyhsd
from . import gof
from .gof import (powerdiscrepancy, gof_chisquare_discrete,
                  chisquare_effectsize)
from . import stattools
from .stattools import durbin_watson, omni_normtest, jarque_bera

from . import sandwich_covariance
from .sandwich_covariance import (
    cov_cluster, cov_cluster_2groups, cov_nw_panel,
    cov_hac, cov_white_simple,
    cov_hc0, cov_hc1, cov_hc2, cov_hc3,
    se_cov
)

from .weightstats import (DescrStatsW, CompareMeans, ttest_ind, ttost_ind,
                          ttost_paired, ztest, ztost, zconfint)

from .proportion import (
    binom_test_reject_interval, binom_test,
    binom_tost, binom_tost_reject_interval,
    power_binom_tost, power_ztost_prop,
    proportion_confint, proportion_effectsize,
    proportions_chisquare, proportions_chisquare_allpairs,
    proportions_chisquare_pairscontrol, proportions_ztest,
    proportions_ztost, multinomial_proportions_confint)

from .power import (TTestPower, TTestIndPower, GofChisquarePower,
                    NormalIndPower, FTestAnovaPower, FTestPower,
                    tt_solve_power, tt_ind_solve_power, zt_ind_solve_power)

from .descriptivestats import Describe

from .anova import anova_lm

from . import moment_helpers
from .correlation_tools import (
    corr_clipped, corr_nearest,
    corr_nearest_factor, corr_thresholded, cov_nearest,
    cov_nearest_factor_homog, FactoredPSDMatrix)

from statsmodels.sandbox.stats.runs import Runs, runstest_1samp, runstest_2samp

from statsmodels.stats.contingency_tables import (mcnemar, cochrans_q,
                                                  SquareTable,
                                                  Table2x2,
                                                  Table,
                                                  StratifiedTable)
from .mediation import Mediation