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bauer 0.2.0 documentation
bauer 0.2.0 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

Reference

  • API Reference
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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
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Lesson 1: An Introduction to Psychophysical Modelling
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