HDDM is a python module that implements Hierarchical Bayesian estimation of Drift Diffusion Models.
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:
- Github:
- Mailing list:
- 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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