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/web/packages/rgw/index.html
- Used in:
- https://ui.adsabs.harvard.edu/abs/2017MNRAS.472.2877M
- Bibcode:
- 2017ascl.soft11006M
