HDDM is a python module that implements Hierarchical Bayesian estimation of Drift Diffusion Models.

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Project description

This little convenience package extracts the cython based Navarro and Fuss likelihoods from the HDDM package for fitting hierarchical versions of the Drift Diffusion Model .

The code of this repo is essentially taken from the HDDM package.

The Copyright information for the original package is:

Author:

Thomas V. Wiecki, Imri Sofer, Mads L. Pedersen, Alexander Fengler, Lakshmi Govindarajan, Krishn Bera, Michael J. Frank

Contact:

thomas.wiecki@gmail.com, imri_sofer@brown.edu, madslupe@gmail.com, alexander_fengler@brown.edu, krishn_bera@brown.edu, michael_frank@brown.edu

Web site:

https://hddm.readthedocs.io

Github:

http://github.com/hddm-devs/hddm

Mailing list:

https://groups.google.com/group/hddm-users/

Copyright:

This document has been placed in the public domain.

License:

HDDM is released under the BSD 2 license.

Version:

0.9.7

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0.1.6

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