Connectionists: Announcement: HDDM 0.2 -- a Python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model.

[Thomas Wiecki]

Announcing HDDM release 0.2
========================

HDDM is a python toolbox for hierarchical Bayesian parameter
estimation of the Drift Diffusion Model (via PyMC).
Drift Diffusion Models are used widely in psychology and cognitive
neuroscience to study decision making.

Version 0.2 is our first public stable release and comes equipped with
many essential features and tests. At this point, consider the
software to still be under development; quantitative tests and
comparison to other software tools (i.e. DMAT and fast-dm) and a
scientific publication are forthcoming. However, the software has been
used by us and selected other labs with great success.

Documentation and installation instructions:
http://ski.cog.brown.edu/hddm_docs/

Source code repository:
https://github.com/hddm-devs/hddm

Regards,
the HDDM developers