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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 Warning: The documentation is currently somewhat out of date.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


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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

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