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
Extensions
- 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.
Dependencies
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