This is a basic introduction for new users.
This short course is especially relevant for readers interested in Pypomp for epidemiological or ecological applications.
However, the methodology is sufficiently general to be relevant to all those interested in inference for partially observed Markov process models in any application area.
Notes
- Code documentation is available on the Pypomp Read the Docs page.
- Source code is available from the Pypomp GitHub repository.
- Pypomp is on PyPI. Install with
pip install pypomp.
- Pypomp is in active development. Please get in touch if you are reading this and you have feedback! You are welcome to email pypomp-org@umich.edu, or you can communicate with the development team via GitHub.