Metadata-Version: 2.2
Name: mc3
Version: 3.2.1
Summary: Multi-core Markov-chain Monte Carlo package
Author-email: Patricio Cubillos <patricio.cubillos@oeaw.ac.at>
License: Copyright (c) 2015-2022 Patricio Cubillos and contributors.
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in
        all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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        THE SOFTWARE.
        
Project-URL: Homepage, https://github.com/pcubillos/mc3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.23.5
Requires-Dist: scipy>=1.5.4
Requires-Dist: matplotlib>=3.3.4
Provides-Extra: test
Requires-Dist: pytest>=6.0; extra == "test"

# mc3: Multi-core Markov-chain Monte Carlo
> A Python implementation of the Markov-chain Monte Carlo algorithm.

[![Tests](https://github.com/pcubillos/mc3/actions/workflows/python-package.yml/badge.svg?branch=master)](https://github.com/pcubillos/mc3/actions/workflows/python-package.yml)
[![Documentation Status](https://readthedocs.org/projects/mc3/badge/?version=latest)](https://mc3.readthedocs.io/en/latest/?badge=latest)
[![PyPI](https://img.shields.io/pypi/v/mc3.svg)](https://pypi.org/project/mc3)
[![Conda Version](https://img.shields.io/conda/vn/conda-forge/mc3.svg)](https://anaconda.org/conda-forge/mc3)
[![GitHub](https://img.shields.io/github/license/pcubillos/mc3.svg?color=blue)](https://mc3.readthedocs.io/en/latest/license.html)

### Install as:
```
pip install mc3
```
or:
```
conda install -c conda-forge mc3
```

### Docs at:
<https://mc3.readthedocs.io/en/latest/>

### Cite as:
```bibtex
@ARTICLE{CubillosEtal2017apjRednoise,
       author = {{Cubillos}, Patricio and {Harrington}, Joseph and {Loredo}, Thomas J. and {Lust}, Nate B. and {Blecic}, Jasmina and {Stemm}, Madison},
        title = "{On Correlated-noise Analyses Applied to Exoplanet Light Curves}",
      journal = {\aj},
     keywords = {methods: statistical, planets and satellites: fundamental parameters, techniques: photometric, Astrophysics - Earth and Planetary Astrophysics},
         year = 2017,
        month = jan,
       volume = {153},
       number = {1},
          eid = {3},
        pages = {3},
          doi = {10.3847/1538-3881/153/1/3},
archivePrefix = {arXiv},
       eprint = {1610.01336},
 primaryClass = {astro-ph.EP},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2017AJ....153....3C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```

