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PyIBS

  • Installation
  • Getting started
  • PyIBS: Frequently Asked Questions
  • Examples
    • PyIBS Example 1: Basic usage and calibration
    • PyIBS Example 2: Maximum-likelihood estimation with PyBADS
    • PyIBS Example 3: Posterior and model evidence with PyVBMC
  • Documentation
    • IBS
    • EstimateResult
    • Classes
      • IBS
      • EstimateResult
      • IBSSamplingError
    • Functions
      • ibs_basic
      • check_for_updates
  • Instructions for developers and contributors
  • About us
  • Repository
  • Suggest edit
  • Open issue
  • .rst

Classes

Classes#

  • IBS
    • IBS
  • EstimateResult
    • EstimateResult
  • IBSSamplingError
    • IBSSamplingError

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EstimateResult

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IBSSamplingError

© Copyright 2026, Machine and Human Intelligence research group (PI: Luigi Acerbi, University of Helsinki).

PyIBS is one of the open-source model-fitting tools from the Machine and Human Intelligence Group at the University of Helsinki.