/mc3

Python MCMC Sampler

Primary LanguagePythonMIT LicenseMIT

mc3: Multi-core Markov-chain Monte Carlo

A Python implementation of the Markov-chain Monte Carlo algorithm.

Tests Documentation Status PyPI Conda Version GitHub

Install as:

pip install mc3

or:

conda install -c conda-forge mc3

Docs at:

https://mc3.readthedocs.io/en/latest/

Cite as:

@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}
}