Metadata-Version: 2.0
Name: ABtests
Version: 0.0.2.1
Summary: Automated AB tests
Home-page: https://github.com/leodema/ABtests
Author: Leonardo De Marchi
Author-email: leodema@users.noreply.github.com
License: Apache Software License
Platform: any
Classifier: Programming Language :: Python
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Dist: matplotlib (==1.5.3)
Requires-Dist: numpy (==1.11.2)
Requires-Dist: pandas (==0.19.0)
Requires-Dist: scipy (==0.18.1)
Requires-Dist: seaborn (==0.7.1)
Requires-Dist: setuptools (==28.3.0)
Requires-Dist: statsmodels (==0.8.0rc1)
Provides-Extra: testing
Requires-Dist: stats; extra == 'testing'

This software aims to automate tests analysis


Installation:
pip install ABtests

Usage example:

```python
import numpy as np
from  ABtests.analysis import TtestIndip

mu_test, sigma = 0, 0.1 # mean and standard deviation
mu_control = 0.2

test = np.random.normal(mu_test, sigma, 500)
control = np.random.normal(mu_control, sigma, 500)

analysis = TtestIndip(test, control)

analysis.report()

print(analysis.p_value)
```


