HDDM is a python module that implements Hierarchical Bayesian estimation of Drift Diffusion Models.
Introduction
This little convenience package extracts the cython based Navarro and Fuss <https://psycnet.apa.org/record/2009-11068-003>_ likelihoods from the HDDM <https://hddm.readthedocs.io/en/latest/>_ package for fitting hierarchical versions of the Drift Diffusion Model <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474742>_ .
The code of this repo is essentially taken from the HDDM <https://hddm.readthedocs.io/en/latest/>_ 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: https://hddm.readthedocs.io :Github: http://github.com/hddm-devs/hddm :Mailing list: https://groups.google.com/group/hddm-users/ :Copyright: This document has been placed in the public domain. :License: HDDM is released under the BSD 2 license. :Version: 0.9.7
FAQs
HDDM is a python module that implements Hierarchical Bayesian estimation of Drift Diffusion Models.
We found that hddm-wfpt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
