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        "author": "Evan Magnusson",
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        "description": "# rdd\n\nrdd is a set of tools for implementing regression discontinuity designs in Python.  At present, it only allows for inputs that are pandas Series or DataFrames.  Check out the tutorial [here](https://github.com/evan-magnusson/rdd/blob/master/tutorial/tutorial.ipynb) for a guide to using this package.\n\n## Installation:\n\nTo install using `pip`, run `pip install rdd`. See [here](https://pypi.org/project/rdd/) for more information and to download from PyPI.  Otherwise, you can download this repository.\n\n## Current Features:\n\n* Computes the Imbens-Kalyanaraman optimal bandwidth (see [this article](http://www.nber.org/papers/w14726.pdf) for details)\n* Creates a dataset containing only observations within a given bandwidth\n* Generates a reduced pandas DataFrame for graphical analysis (such as binned scatter plots) when the number of observations is large\n* Implements a sharp RDD\n  * With or without user supplied equation and/or controls\n  * Via OLS or WLS\n\n## Features to Come:\n\n* Tutorial on how to check rdd's statistical assumptions in Python, such as using:\n  * Continuity plots\n  * Density plots\n  * Tests for discontinuities\n  * Checking for balance and testing for random assignment (though not a requirement, it can still be a useful check)\n* McCrary tests\n* Implementation of Fuzzy RDD",
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