birdepy

Name	birdepy JSON
Version	0.0.27 JSON
	download
home_page	https://birdepy.github.io
Summary	Parameter estimation for birth-and-death processes
upload_time	2023-08-15 09:38:45
maintainer
docs_url	None
author	Sophie Hautphenne and Brendan Patch
requires_python	>=3.10
license
keywords	markov chain stochastic population process
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # BirDePy: Birth-and-death processes in Python

BirDePy is a Python package for working with continuous time birth-and-death processes. It includes functions which can be used to approximate transition probabilities (``birdepy.probability()``), estimate parameter values from data (``birdepy.estimate()``), simulate sample paths (``birdepy.simulate.discrete()`` and ``birdepy.simulate.continuous()``) and generate forecasts (``birdepy.forecast()``). The main focus of the package is the estimation of parameter values from discretely-observed sample paths, however the much more straightforward case of estimation of parameter values from continuously observed sample paths is also included.

Please visit our website: https://birdepy.github.io/

[![semantic-release: angular](https://img.shields.io/badge/semantic--release-angular-e10079?logo=semantic-release)](https://github.com/semantic-release/semantic-release)

            

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