Implementation of the Kumaraswamy distribution
A simple implementation of the Kumaraswamy distribution.
How to use
Install it from pip (kumaraswamy only depends on numpy)
pip install kumaraswamy
and it’s ready to use from Python
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)
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
Copyright 2018 João Faria.
kumaraswamy is free software made available under the MIT License. For details see the LICENSE file.
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