mc3: Multi-core Markov-chain Monte Carlo
A Python implementation of the Markov-chain Monte Carlo algorithm.
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}
}
1 maintainer
Metadata
1 maintainer
Release files for mc3 3.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mc3-3.2.1.tar.gz | 679.5 kB | Details |
Release files / mc3-3.2.1.tar.gz
| Download URL | mc3-3.2.1.tar.gz |
|---|---|
| Size | 679.5 kB |
| Tags | Source |
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