Examples

The following examples should help to get a better idea of how to use pyABC.

• Quickstart
• Parameter inference
• Early stopping of model simulations
• Resuming stored ABC runs
• Using R with pyABC
• Ordinary Differential Equations: Conversion Reaction
• Markov Jump Process: Reaction Network
• Multi-scale model: Tumor spheroid growth
• Stochastic Differential Equation: Ion channel noise in Hodgkin-Huxley neurons
• Adaptive Distances

Download the examples as notebooks

• Quickstart
• Parameter inference
• Model selection (Quickstart)
• Early stopping of model simulations
• Resuming stored ABC runs
• Using R with pyABC
• Ordinary Differential Equations: Conversion Reaction
• Markov Jump Process: Reaction Network
• Multi-scale model: Tumor spheroid growth
• Stochastic Differential Equation: Ion channel noise in Hodgkin-Huxley neurons
• Adaptive Distances

Warning

Upgrade to the latest pyABC version before running the examples. If you installed pyABC some weeks (or days) a ago, some new features might have been added in the meantime. Refer to the Upgrading section on how to upgrade pyABC.