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
.pycfiles: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.
1 maintainer
Metadata
1 maintainer
Release files for panelctmc 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| panelctmc-0.1.1.tar.gz | 57.0 kB | Details |
Release files / panelctmc-0.1.1.tar.gz
| Download URL | panelctmc-0.1.1.tar.gz |
|---|---|
| Size | 57.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dfeca23ce20ebcc12fc1995767ca2a73c584356bdc647df04fd5854cc1d9c354
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BLAKE2b-256 checksum How to use checksums |
fbbca37f628ad59e34da3ca0e14bc08c751e6fa2210803c5f0fb4e30913e3da9
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.2
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