Chi is an open source Python package hosted on GitHub, which is designed for dose response modelling.

The main features of chi are

• Simulation of mechanistic dose response models (differential equations) for arbitrary dosing regimens.
• Inference of mechanistic model parameters from data (classical or Bayesian).
• Simulation of the dose response variability in a population (hierarchical models/non-linear mixed effects models).
• Inference of population parameters from data (classical or Bayesian).
• Simulation of structured populations, where inter-individual variability can be partly explained by covariates.
• Inference of model parameters in a structured population from data (classical or Bayesian).

All features of our software are described in detail in our full API documentation.

At the moment chi is not yet distributed with PyPI. One way to use chi nevertheless is to clone the repository and install it from there, i.e.

1. Clone the repository with

git clone https://github.com/DavAug/chi.git

2. Install chi by moving into the repository and executing a pip install

cd chi && pip install .

Polished tutorials do currently not exist, but are on the way. In the mean time, please find examples of how chi is used to study the tumour growth inhibiting effect of the drug erlotinib in mice here.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

BSD-3-Clause