.. petab-select documentation master file, created by sphinx-quickstart on Mon Oct 23 09:01:31 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. 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. Installation ------------ The Python 3 package provides both the Python 3 and command-line (CLI) interfaces, and can be installed from PyPI, with: .. code-block:: bash pip install petab-select .. toctree:: :maxdepth: 2 :caption: Contents: problem_definition examples analysis Test Suite api Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`