panelctmc

Continuous Time Markov Chain for daily panel data and annual transition probabilities

Table of Contents

• Installation
• Usage
• Commands
• Support
• Contributing

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.