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Causal models in Python

Project description

causalmodels in Python.

instalation

$ pip install causalmodels

usage

>>> import numpy as np
>>> import pandas as pd
>>> import causalmodels as cm
>>> a = np.random.laplace(size=500)
>>> b = np.random.laplace(size=500) + a
>>> c = np.random.laplace(size=500) + a + b
>>> data = pd.DataFrame({'a': a, 'b': b, 'c': c})
>>> model = cm.DirectLiNGAM(data.values, data.columns)
>>> results = model.fit()
>>> results.order
[2, 1, 0]
>>> result.plot()

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
causalmodels-0.4.0-py3-none-any.whl (6.7 kB) Copy SHA256 hash SHA256 Wheel 3.4 Jul 20, 2016
causalmodels-0.4.0.tar.gz (4.6 kB) Copy SHA256 hash SHA256 Source None Jul 20, 2016

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