This is the Python version of hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks), a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks. hBayesDM in Python uses PyStan (Python interface for Stan) for Bayesian inference.
It supports Python 3.5 or higher versions and requires several packages including: NumPy, SciPy, Pandas, PyStan, Matplotlib, and ArviZ.
Documentation: http://hbayesdm.readthedocs.io/
Installation
You can install hBayesDM from PyPI with the following line:
pip install hbayesdm # Install using pip
If you want to install from source (by cloning from GitHub):
git clone https://github.com/CCS-Lab/hBayesDM.git
cd hBayesDM
cd Python
python setup.py install # Install from source
Citation
If you used hBayesDM or some of its codes for your research, please cite this paper:
@article{hBayesDM,
title = {Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the {hBayesDM} Package},
author = {Ahn, Woo-Young and Haines, Nathaniel and Zhang, Lei},
journal = {Computational Psychiatry},
year = {2017},
volume = {1},
pages = {24--57},
publisher = {MIT Press},
url = {doi:10.1162/CPSY_a_00002},
}
Metadata
Release files for hbayesdm 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| hbayesdm-1.1.1.tar.gz | 387.7 kB | Details |
Release files / hbayesdm-1.1.1.tar.gz
| Download URL | hbayesdm-1.1.1.tar.gz |
|---|---|
| Size | 387.7 kB |
| Tags | Source |
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twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.6
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