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        "author": "Isaiah Cushman",
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        "description": "# Bayesian Cognitive Modeling with `pyjgags` assistant\n\nThis is a project to port the code examples in Lee and Wagenmakers' 2013 textbook [Bayesian Cognitive Modeling: A Practical Course](https://bayesmodels.com/) from MATLAB into Python, using the [pyjags](https://github.com/tmiasko/pyjags) package for interfacing Python code with the `JAGS` Gibbs sampling application.\n\nThe main contribution is the module `pjbcmassistant`, which contains convenience classes `ModelHandler` and `SampleHandler` for easily interfacing with `pyjags`, and for performing basic analysis on the model samples it produces.\n\n### Quick Start:\nThe notebook [PyJAGS-BCM Usage Guide](https://github.com/icushman/pjBCM/blob/master/GettingStarted/PyJAGS-BCM%20Usage%20Guide.ipynb) provides a demonstration and overview of how to use the module for building and analyzing models.\n\nSee the [full documentation](https://github.com/icushman/pjBCM/blob/master/docs.md) for details on all methods provided by the module.\n\n*NOTE:*  \nIn addition to dependencies listed in requirements.txt, this module requires that `JAGS` (which is not a Python package) be successfully installed on your system prior to configuring `pyjags`. See the [JAGS website](http://mcmc-jags.sourceforge.net/) and the [pyjags installation instructions](https://pyjags.readthedocs.io/en/latest/getting_started.html) for details.\n\n\n",
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