RGW: Goodman-Weare Affine-Invariant Sampling
Abstract
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).
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- November 2017
- Bibcode:
- 2017ascl.soft11006M
- Keywords:
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- Software