Skip to main content

Bootstrap particle filter for epidemic forecasting

Project description


This package implements a bootstrap particle filter, intended for use with mechanistic infection models to generate forecasts for epidemic outbreaks.


The documentation is available online and can be built locally with sphinx:

python build_sphinx

Note that the sphinx_rtd_theme theme must be installed.


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.


Clone this repository and execute:

python install

If you don’t have admin rights, install the package locally:

python install --user


This package requires h5py 2.2 or newer, NumPy 1.8 or newer, and SciPy 0.11 or newer.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
pypfilt-0.5.4-py2.py3-none-any.whl (52.0 kB) Copy SHA256 hash SHA256 Wheel py2.py3

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page