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ASCL Code Record

[ascl:1711.006] RGW: Goodman-Weare Affine-Invariant Sampling

RGW is a lightweight R-language implementation of the affine-invariant Markov Chain Monte Carlo sampling method of Goodman & Weare (2010). The implementation is based on the description of the python package emcee (ascl:1303.002).

Code site:
https://github.com/abmantz/rgw https://cran.r-project.org/package=rgw
Appears in:
http://adsabs.harvard.edu/abs/2017MNRAS.472.2877M
Bibcode:
2017ascl.soft11006M

ascl:1711.006
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