Hi all,
we are pleased to announce two news items:
1. HDDM version 0.9.7 is out and now allows combining RL models with all the 2-choice sequential sampling models which are part of the package since the LAN-extension. We are grateful for anyone willing to test this new feature set.
2. The
HDDM-LAN extension, which some of you have tried (and in the process greatly helped us with debugging and feature requests), now has an
official tutorial paper:
Beyond Drift Diffusion Models: Fitting a broad class of decision and RL models with HDDM. The paper
systematically carries you through the new capabilities of HDDM, including the HDDMnn classes, the new HDDMnnRL classes, how to extend HDDM with your own models and more. We hope this can help in getting started with the new features. Any feedback will be greatly appreciated.
We will continue to improve HDDM in response to your feature requests and we will work hard to iron out remaining bugs you may find.
Thank you for supporting HDDM and participating in the hddm-users google goup.
Kind Regards,
Alexander Fengler / Krishn Bera / Michael Frank