hddm-wfpt

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

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Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Operating System
- OS Independent
Programming Language
- Python
Topic
- Scientific/Engineering

Project description

This little convenience package extracts the cython based Navarro and Fuss likelihoods from the HDDM package for fitting hierarchical versions of the Drift Diffusion Model .

The code of this repo is essentially taken from the HDDM 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

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 5 - Production/Stable
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Operating System
- OS Independent
Programming Language
- Python
Topic
- Scientific/Engineering

Release history Release notifications | RSS feed

This version

0.1.4

Apr 18, 2024

0.1.2

Oct 4, 2023

0.1.1

Sep 8, 2023

0.1.0

Sep 8, 2023

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