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pyhddmjags

(Repository version 0.1.7)

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python

Authors: Michael D. Nunez from the Cognitive Sciences Department at the University of California, Irvine

Prerequisites

MCMC Sampling Program: JAGS

Program: JAGS Wiener module

Scientific Python libraries

Python Repository: pyjags

Downloading

The repository can be cloned with git clone https://github.com/mdnunez/pyhddmjags.git

The repository can also be may download via the Download zip button above.

License

pyhddmjags is licensed under the GNU General Public License v3.0 and written by Michael D. Nunez from the Cognitive Sciences Department at the University of California, Irvine.

Usage example

Nunez, M. D., Gosai, A., Vandekerckhove, J., & Srinivasan, R. (2019). The latency of a visual evoked potential tracks the onset of decision making. NeuroImage. doi: 10.1016/j.neuroimage.2019.04.052

Elsevier source

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