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"""
Alpha diversity measures (:mod:`skbio.diversity.alpha`)
=======================================================
.. currentmodule:: skbio.diversity.alpha
This package provides implementations of alpha diversity measures, including
measures of richness, dominance, and evenness. Some functions generate
confidence intervals (CIs). These functions have the suffix ``_ci``.
Functions
---------
.. autosummary::
:toctree:
ace
berger_parker_d
brillouin_d
chao1
chao1_ci
dominance
doubles
enspie
esty_ci
faith_pd
fisher_alpha
gini_index
goods_coverage
heip_e
kempton_taylor_q
lladser_ci
lladser_pe
margalef
mcintosh_d
mcintosh_e
menhinick
michaelis_menten_fit
observed_otus
osd
pielou_e
robbins
shannon
simpson
simpson_e
singles
strong
"""
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# ----------------------------------------------------------------------------
from ._ace import ace
from ._chao1 import chao1, chao1_ci
from ._faith_pd import faith_pd
from ._base import (
berger_parker_d, brillouin_d, dominance, doubles, enspie,
esty_ci, fisher_alpha, goods_coverage, heip_e, kempton_taylor_q,
margalef, mcintosh_d, mcintosh_e, menhinick, michaelis_menten_fit,
observed_otus, osd, pielou_e, robbins, shannon, simpson, simpson_e,
singles, strong)
from ._gini import gini_index
from ._lladser import lladser_pe, lladser_ci
__all__ = ['ace', 'chao1', 'chao1_ci', 'berger_parker_d',
'brillouin_d', 'dominance', 'doubles', 'enspie', 'esty_ci',
'faith_pd', 'fisher_alpha', 'gini_index', 'goods_coverage',
'heip_e', 'kempton_taylor_q', 'margalef', 'mcintosh_d',
'mcintosh_e', 'menhinick', 'michaelis_menten_fit', 'observed_otus',
'osd', 'pielou_e', 'robbins', 'shannon', 'simpson', 'simpson_e',
'singles', 'strong', 'lladser_pe', 'lladser_ci']
|
