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        "author": "Jan Freyberg",
        "author_email": "jan.freyberg@gmail.com",
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        "classifiers": [
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            "Framework :: IPython",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# jupyterstan\n\n`jupyterstan` is a package to help development of Stan models (using `pystan`)\nin jupyter notebooks.\n\nThe package is heavily based on Arvinds-ds\n[stanmagic](https://github.com/Arvinds-ds/stanmagic) package, but provides an\ninterface that simply returns a `pystan.Model` object.\n\nIn addition, it bundles Arvinds-ds `stan_code_helper` package to improve\nsyntax highlighting for stan cells.\n\n## Features\n\n- Stan language syntax highlighting in all cells beginning with `%%stan`\n- Compile a stan model and save it as a pystan variable by running a `%%stan` cell\n- No longer worry about `model_code`, reading in stan files, etc.\n\n\n## Installation\n\nTo install the library:\n\n```bash\npip install jupyterstan\n```\n\n## Usage\n\nTo use the `magic` in your notebook, you need to lead the extension:\n\n```python\n%load_ext jupyterstan\n```\n\nTo define a stan model inside a jupyter notebook, start a cell with the `%%stan`\nmagic. You can also provide a variable name, which is the variable name that\nthe `pystan.Model` object will be assigned to. For example:\n\n```stan\n%%stan paris_female_births\ndata {\n    int male;\n    int female;\n}\n\nparameters {\n    real<lower=0, upper=1> p;\n}\n\nmodel {\n    female ~ binomial(male + female, p);\n}\n```\n\nWhen you run this cell, `jupyterstan` will create a pystan Model object, which will compile your model and allow\nyou to sample from it. To use your compiled model:\n\n```python\nfit = paris_female_births.sampling(\n    data={'male': 251527, 'female': 241945},\n    iter=1000,\n    chains=4\n)\n```",
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        "name": "jupyterstan",
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