# 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.