Code

hBayesDM

The hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) offers an easy way to use hierarchical Bayesian analysis of computational models of various decision-making tasks. The hBayesDM uses Stan for Bayesian inference and supports both R and Python. The source code is available at GitHub. I’m a contributor to the package and below is the list of my contributions.

• Balloon Analogue Risk Task: bart_par4
• Peer Influence Task: peer_ocu
• Probabilistic Reversal Learning Task: prl_ewa, prl_fictitious, prl_rp, etc
• Risky Decision Task: rdt_happiness
• Two-Step Task: ts_par4, ts_par6, ts_par7