Skip to main content

A dynamic nested sampling package for computing Bayesian posteriors and evidences.

Project description

A dynamic nested sampling package for computing Bayesian posteriors and evidences. Pure Python. MIT license. Beta release.

Documentation

Documentation can be found here. Warning: The documentation is currently somewhat out of date.

Installation

dynesty can be installed through pip via

pip install dynesty

It can also be installed by running

python setup.py install

from inside the repository.

Demos

Several Jupyter notebooks that demonstrate most of the available features of the code can be found here.

Project details


Release history Release notifications

This version
History Node

0.9.2

History Node

0.9.2b0

History Node

0.9.1

History Node

0.9.0

History Node

0.8.4

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
dynesty-0.9.2.tar.gz (68.7 kB) Copy SHA256 hash SHA256 Source None Mar 20, 2018

Supported by

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