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Bootstrap particle filter for epidemic forecasting

Project description

Latest version Journal of Open Source Software Documentation Test cases Test coverage


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.


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.


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 .


If you use pypfilt, please cite our JOSS article and an archived release of the software (see CITATION.cff).

  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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