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Implementation of the Kumaraswamy distribution

Project description

A simple implementation of the Kumaraswamy distribution.

License MIT PyPI version

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.

Project details


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This version

0.1

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