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

Project description

Build Status Binder

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


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Files for panelctmc, version 0.1.1
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