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        "author": "Wesley Henderson",
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        "description": "# TIStan #\n\nTIStan is a Python 3 package that implements adaptively-annealed thermodynamic integration for model evidence estimation. This package makes use of [PyStan](https://pystan.readthedocs.io/en/latest/)'s implementation of the No U-Turn Sampler for refreshing the sample population at each inverse temperature increment. A paper will soon be published with a detailed description of this package, and it will be linked here at that time.\n\n## Installation ##\n\nThis package may be installed using pip:\n\n`pip install TIStan`\n\nTIStan depends on pystan, numpy, and dill. These packages should be installed by pip automatically if they are not present in your Python installation.\n\n## Tests ##\n\nAfter installation, a dummy test can be run to make sure everything was installed correctly. This test will not produce valid evidence values. From a Python 3 console run,\n\n```\nfrom TIStan.tests import tests\nout = tests.dummy_test()\n```\n\nTo run a more thorough test that should produce valid evidence values for the example problem run,\n\n```\nfrom TIStan.tests import tests\nout = tests.full_test()\n```\n\n\n",
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        "name": "TIStan",
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