Metadata-Version: 2.4
Name: dynesty
Version: 3.0.0
Summary: A dynamic nested sampling package for computing Bayesian posteriors and evidences.
Author-email: Sergey E Koposov <skoposov@ed.ac.uk>, Joshua S Speagle <j.speagle@utoronto.ca>
Project-URL: Homepage, https://github.com/joshspeagle/dynesty/
Keywords: nested sampling,dynamic,monte carlo,bayesian,inference,modeling
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.md
Requires-Dist: numpy>=1.17.0
Requires-Dist: scipy>=1.4.0
Requires-Dist: matplotlib
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pytest-xdist; extra == "dev"
Requires-Dist: coveralls; extra == "dev"
Requires-Dist: dill; extra == "dev"
Requires-Dist: h5py; extra == "dev"
Requires-Dist: tqdm; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: ipyparallel; extra == "dev"
Requires-Dist: pylint; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: numpydoc; extra == "dev"
Dynamic: license-file

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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
```
pip 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 use this package in your research, please cite **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 information is at the bottom right of the linked page)

Please also consider citing 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.
