HDDM 0.7.6-foss-2019b-Python-3.7.4

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

Accessing HDDM 0.7.6-foss-2019b-Python-3.7.4

To load the module for HDDM 0.7.6-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load HDDM/0.7.6-foss-2019b-Python-3.7.4

BEAR Apps Version



  • HDDM 0.7.6
  • kabuki 0.6.2
  • patsy 0.5.1
  • pymc 2.3.8

More Information

For more information visit the HDDM website.


This version of HDDM has a direct dependency on: foss/2019b matplotlib/3.1.1-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4

Required By

This version of HDDM is a direct dependent of: BEAR-Python-Sciences/2019b-foss-2019b-Python-3.7.4

Last modified on 4th May 2020