Installation, testing and development¶
Dependencies¶
causal-curve requires:
- black
- coverage
- future
- joblib
- numpy
- numpydoc
- pandas
- patsy
- progressbar2
- pygam
- pytest
- python-dateutil
- python-utils
- pytz
- scikit-learn
- scipy
- six
- sphinx_rtd_theme
- statsmodels
User installation¶
If you already have a working installation of numpy, pandas, pygam, scipy, and statsmodels,
you can easily install causal-curve using pip:
pip install causal-curve
You can also get the latest version of causal-curve by cloning the repository:
git clone https://github.com/ronikobrosly/causal-curve.git
cd causal-curve
pip install .
Testing¶
After installation, you can launch the test suite from outside the source
directory using pytest:
pytest
Development¶
Please reach out if you are interested in adding additional tools, or have ideas on how to improve the package!