.. sample documentation master file, created by
   sphinx-quickstart on Mon Apr 16 21:22:43 2012.
   You can adapt this file completely to your liking, but it should at least
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**Quail**: A python toolbox for analyzing free recall experiments and plotting the results
==================================

.. image:: _static/plot_lagcrp.png
    :width: 400pt
.. image:: _static/plot_fingerprint.png
    :width: 400pt

`Quail <https://github.com/ContextLab/quail>`_ is a library for analyzing and visualizing free recall data
in Python. It is built on top of matplotlib and seaborn.  For sample Jupyter
notebooks, click `here <https://github.com/ContextLab/quail-example-notebooks>`_
and to read the paper, click
`here <http://joss.theoj.org/papers/3fb5123eb2538e06f6a25ded0a088b73>`_.

 Some key features of Quail are:

 + A simple data structure for encoding and recall data (eggs).
 + A set of functions for analyzing data: accuracy, serial position curves, p(first recall), lag-crp and memory fingerprints!
 + Simple API for customizing plot styles.
 + Set of powerful tools for importing data, automatically transcribing audio files and more.

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