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Kumaraswamy

A simple implementation of the Kumaraswamy distribution.

License MIT PyPI version DOIzenodo

How to use

Install it from pip (kumaraswamy only depends on numpy)

pip install kumaraswamy

and it’s ready to use from Python

import kumaraswamy

The package provides one simple class called kumaraswamy, which implements the distribution. It is intended to mimic the API of scipy.stats.

from kumaraswamy import kumaraswamy

d1 = kumaraswamy(a=0.5, b=0.5)

the d1 object now has methods

  • pdf(x) and logpdf(x)

  • cdf(x)

  • rvs(size)

to calculate the probability density function (and its logarithm), the cumulative density function, and to get random samples from the distribution.

Also available are some basic properties specific to the distribution

d1.mean
d1.var
d2.mode  # see help(d2.mode) for details

License

Copyright 2018 João Faria.

kumaraswamy is free software made available under the MIT License. For details see the LICENSE file.

Metadata

Release files for kumaraswamy 0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for kumaraswamy 0.2
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Table of built distributions (wheels) for kumaraswamy 0.2
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kumaraswamy-0.2-py3-none-any.whl Python 3 none any Details

Total release size: 9.8 kB

Release files / kumaraswamy-0.2.tar.gz

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