Description
This package implements several particle filter methods 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)},
}
Metadata
Release files for pypfilt 0.8.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pypfilt-0.8.7-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pypfilt-0.8.7-py3-none-any.whl
| Download URL | pypfilt-0.8.7-py3-none-any.whl |
|---|---|
| Size | 111.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
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