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        "description": "# pycmdstan\n\n[![pipeline status](https://gitlab.thevirtualbrain.org/tvb/pycmdstan/badges/master/pipeline.svg)](https://gitlab.thevirtualbrain.org/tvb/pycmdstan/commits/master) [![coverage report](https://gitlab.thevirtualbrain.org/tvb/pycmdstan/badges/master/coverage.svg)](https://gitlab.thevirtualbrain.org/tvb/pycmdstan/commits/master) [![PyPI package version](https://img.shields.io/pypi/v/pycmdstan.svg)](https://pypi.org/project/pycmdstan/) [![Documentation Status](https://readthedocs.org/projects/pycmdstan/badge/?version=latest)](https://pycmdstan.readthedocs.io/en/latest/?badge=latest)\n\nPython interface to CmdStan.\n\n## Usage\nAfter installing,  `pip install -U pycmdstan`, a contrived example would be\n```python\nfrom pycmdstan import Model, Run\n\nmodel = Model('''\ndata { vector[20] x; real mu; }\nparameters { real sig; }\nmodel { x ~ normal(mu, sig); }\n''')\n\nassert model.sample(data={'mu': 5.0, x: randn(20)}, chains=4).R_hat.max() < 1.2\n```\nSee the [docs](https://pycmdstan.readthedocs.io/en/latest/) for more.\n\n## Contributing\n\nContributions are welcome, please start in the issue tracker. \nUse YAPF to format the code.  The Dockerfile can ease local development, \n```\ndocker build -t pycmdstan .\ndocker run --rm -it pycmdstan pytest -n4 pycmdstan/tests.py\n```\n\n## Acknowledgements\n\n- PSIS code is by Aki Vehtari & Tuomas Sivula (BSD licensed, [repo here](https://github.com/avehtari/PSIS))\n\n",
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}