Massively parallel, distributed and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) for parameter estimation of complex stochastic models. Implemented in Python with support of the R language.
- Documentation: https://pyabc.readthedocs.io
- Contact: https://pyabc.readthedocs.io/en/latest/about.html
- Source: https://github.com/icb-dcm/pyabc
- Bug reports: https://github.com/icb-dcm/pyabc/issues
Many examples are available as Jupyter Notebooks in the examples directory and also for download and for online inspection in the example section of the documentation.