Data Science & Analytics
Fit Drift Diffusion Model
Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.
- Publisher / source
- pjt222/agent-almanac (found on the CSV list)
- Upstream record
- pjt222/agent-almanac
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-03
- Content fingerprint
987eb119fb889560eff5a76d8aae35c980b053c15bab0777be25b05da9e2db2c