Continuous Time Markov Chain for daily panel data and annual transition probabilities
Project description
panelctmc
Continuous Time Markov Chain for daily panel data and annual transition probabilities
Table of Contents
Installation
The panelctmc
git repo is available as PyPi package
pip install panelctmc
Usage
Check the examples folder for notebooks.
Commands
- Check syntax:
flake8 --ignore=F401
- Run Unit Tests:
python -W ignore -m unittest discover
- Remove
.pyc
files:find . -type f -name "*.pyc" | xargs rm
- Remove
__pycache__
folders:find . -type d -name "__pycache__" | xargs rm -rf
- Upload to PyPi with twine:
python setup.py sdist && twine upload -r pypi dist/*
Debugging
- Notebooks to profile python code are in the profile folder
Support
Please open an issue for support.
Contributing
Please contribute using Github Flow. Create a branch, add commits, and open a pull request.
Project details
Release history Release notifications | RSS feed
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