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bauer 0.3.0 documentation
bauer 0.3.0 documentation

Getting started

  • Installation
  • Architecture & Concepts

Tutorials

  • Tutorials
    • Lesson 1: An Introduction to Psychophysical Modelling
    • Lesson 2: Risky Choice — Psychometric Functions and the Noise–Risk Link
    • Lesson 3: Stake effects and presentation order — de Hollander et al. (2024, bioRxiv)
    • Lesson 4: Flexible Noise Curves — FlexibleNoiseComparisonModel and FlexibleNoiseRiskModel
    • Lesson 5: Why Hierarchical Modelling Beats Maximum Likelihood
    • Lesson 8: DDM vs probit on the Garcia magnitude task
    • Lesson 9: Choice + Reaction Time Models — DDM and Race-Diffusion
    • Lesson 10: Fixed vs random effects (fixed_regressors / random_regressors)

Reference

  • API Reference
  • Usage
  • History
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