Bootstrap particle filter for epidemic forecasting
Project description
Description
A bootstrap particle filter that can be used for recursive Bayesian estimation and forecasting. See the online documentation for tutorials, how-to guides, and API documentation.
License
The code is distributed under the terms of the BSD 3-Clause license (see LICENSE), and the documentation is distributed under the terms of the Creative Commons BY-SA 4.0 license.
Installation
To install the latest release:
pip install pypfilt
To install the latest release with plotting support (requires matplotlib):
pip install pypfilt[plot]
To install the latest development version, clone this repository and run:
pip install .
Citation
If you use pypfilt, please cite our JOSS article and an archived release of the software (see CITATION.cff).
@article{pypfilt,
author = {Moss, Robert},
title = {pypfilt: a particle filter for {Python}},
journal = {Journal of Open Source Software},
volume = {9},
issue = {96},
pages = {6276},
year = {2024},
doi = {10.21105/joss.06276},
note = {Please cite this article and an archived release (see CITATION.cff)},
}
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