Metadata-Version: 2.1
Name: KDE-diffusion
Version: 1.0.2
Summary: Kernel density estimation via diffusion in 1d and 2d.
Home-page: https://pypi.org/project/KDE-diffusion
License: MIT
Keywords: kernel density estimation, statistics
Author: John Hennig
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: NumPy
Requires-Dist: SciPy
Requires-Dist: Sphinx ; extra == "doc"
Requires-Dist: Sphinx-RTD-theme ; extra == "doc"
Requires-Dist: reCommonMark ; extra == "doc"
Requires-Dist: pyTest ; extra == "test"
Project-URL: Documentation, https://kde-diffusion.readthedocs.io
Project-URL: Source, https://github.com/john-hennig/kde-diffusion
Provides-Extra: doc
Provides-Extra: test

﻿Kernel density estimation via diffusion in 1d and 2d.

Provides the fast, adaptive kernel density estimator based on linear
diffusion processes for one-dimensional and two-dimensional input data
as outlined in the [2010 paper by Botev et al.][paper] The reference
implementation for [1d][kde1d] and [2d][kde2d], in Matlab, was provided
by the paper's first author, Zdravko Botev. This is a re-implementation
in Python, with added test coverage.

Find the full [documentation on Read-the-Docs][docs].


[paper]: https://dx.doi.org/10.1214/10-AOS799
[kde1d]: https://mathworks.com/matlabcentral/fileexchange/14034
[kde2d]: https://mathworks.com/matlabcentral/fileexchange/17204
[docs]:  https://kde-diffusion.readthedocs.io


[![release](https://img.shields.io/pypi/v/kde-diffusion.svg)](https://pypi.python.org/pypi/kde-diffusion)
[![downloads](https://pepy.tech/badge/kde-diffusion)](https://pepy.tech/project/kde-diffusion)
[![citation](https://zenodo.org/badge/263433787.svg)](https://zenodo.org/badge/latestdoi/263433787)
[![license](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![documentation](https://readthedocs.org/projects/kde-diffusion/badge/?version=latest)](https://kde-diffusion.readthedocs.io/en/latest/?badge=latest)

