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Repository for the analysis of eyetracking data, collected by the Institute of Mental Health (IMHR) at the University of Texas at Austin.

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doi license python version-pypi version-anaconda platform Build Status

mdl: an extensive suite for the exploration, visualization, and analysis of psychological data.

This package was created at the Institute for Mental Health Research, at the University of Texas at Austin by Semeon Risom, and was developed in part from funding of NIMH grant 5R33MH109600-03.

Hsu, K. J., Caffey, K., Pisner, D., Shumake, J., Risom, S., Ray, K. L., . . . Beevers, C. G. (2018). 
    Attentional bias modification treatment for depression: Study protocol for a randomized controlled trial. 
    Contemporary Clinical Trials, 75, 59-66. doi:https://doi.org/10.1016/j.cct.2018.10.014.

Documentation

Online documentation is available at risoms.github.io/mdl. Documentation include examples, API reference, and other useful information.

Dependencies

mdl requires the following dependencies:

Installation

This package and its dependencies are available as wheel packages for macOS and Windows distributions from PyPI:

python -m pip install imhr

or the anaconda package cloud repo:

conda install -c risoms imhr

You can also install the development version directly from github:

pip install git+https://github.com/risoms/mdl.git

Testing

After installation, you can launch the test suite after downloading from github:

pytest --pyargs imhr.tests --html=report.html --self-contained-html

or from the Python interpreter:

import imhr
imhr.tests

Note that the test suite requires pytest. Please install with pip or your package manager of choice.

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Repository for the analysis of eyetracking data, collected by the Institute of Mental Health (IMHR) at the University of Texas at Austin.

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