https://github.com/joshspeagle/dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
https://github.com/joshspeagle/dynesty

bayesian-inference mit-license model-selection monte-carlo nested-sampling pure-python

Last synced: 3 days ago
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Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

• Host: GitHub
• URL: https://github.com/joshspeagle/dynesty
• Owner: joshspeagle
• License: mit
• Created: 2017-05-02T02:03:54.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2024-10-28T03:01:42.000Z (6 months ago)
• Last Synced: 2024-10-30T18:03:15.546Z (6 months ago)
• Topics: bayesian-inference, mit-license, model-selection, monte-carlo, nested-sampling, pure-python
• Language: Python
• Homepage: https://dynesty.readthedocs.io/
• Size: 143 MB
• Stars: 355
• Watchers: 19
• Forks: 77
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Authors: AUTHORS.md

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• awesome-sciml - joshspeagle/dynesty: Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

README

        
[![Build Status](https://github.com/joshspeagle/dynesty/actions/workflows/test.yml/badge.svg)](https://github.com/joshspeagle/dynesty/actions/)

[![Documentation Status](https://readthedocs.org/projects/dynesty/badge/?version=latest)](https://dynesty.readthedocs.io/en/latest/?badge=latest)

[![Coverage Status](https://coveralls.io/repos/github/joshspeagle/dynesty/badge.svg?branch=master)](https://coveralls.io/github/joshspeagle/dynesty?branch=master)[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3348367.svg)](https://doi.org/10.5281/zenodo.3348367)

dynesty

=======

![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)

A Dynamic Nested Sampling package for computing Bayesian posteriors and

evidences. Pure Python. MIT license.

### Documentation

Documentation can be found [here](https://dynesty.readthedocs.io).

### Installation

The most stable release of `dynesty` can be installed

through [pip](https://pip.pypa.io/en/stable) via

```

pip install dynesty

```

The current (less stable) development version can 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](https://github.com/joshspeagle/dynesty/tree/master/demos).

### Attribution

If you find the package useful in your research, please cite at least *both* of these references:

* The original paper [Speagle (2020)](https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.3132S/abstract)

* The python implementation [Koposov et al. (2024)](https://doi.org/10.5281/zenodo.3348367) (the citation info is at the bottom of the page on the right)

and ideally also papers describing the underlying methods (see the [documentation](https://dynesty.readthedocs.io/en/latest/references.html) for more details)

### Reporting issues

If you want to report issues, or have questions, please do that on [github](https://github.com/joshspeagle/dynesty/issues).

### Contributing

Patches and contributions are very welcome! Please see [CONTRIBUTING.md](https://github.com/joshspeagle/dynesty/blob/master/CONTRIBUTING.md) for more details.