Welcome to PEtab Select’s documentation!

PEtab Select brings model selection to PEtab. PEtab Select comprises file formats, a Python library and a command line interface.

Model selection is the process of choosing the best model from a set of candidate models. PEtab Select provides a standardized and compact way to specify the candidate model space, implements a number of model selection algorithms and criteria.

Supported model selection algorithms:

• brute force

• forward selection

• backward selection

• FAMoS

Supported model selection criteria:

• (corrected) Akaike Information Criterion (AIC / AICc)

• Bayesian Information Criterion (BIC)

Model calibration is performed outside of PEtab Select. For example, PEtab Select is well-integrated with:

• BasiCO (example)

• PEtab.jl (example)

• pyPESTO (example)

Other model calibration tools can easily be integrated using the provided Python library or command line interface.

pip install petab-select

Indices and tables

• Index

• Module Index

• Search Page