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Implementation of the affine-invariant method of Goodman & Weare (2010) <doi:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution.
| Version: | 0.3.0 |
| Imports: | parallel |
| Published: | 2020-08-11 |
| DOI: | 10.32614/CRAN.package.rgw |
| Author: | Adam Mantz |
| Maintainer: | Adam Mantz <amantz at slac.stanford.edu> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/abmantz/rgw |
| NeedsCompilation: | no |
| CRAN checks: | rgw results |
| Reference manual: | rgw.pdf |
| Package source: | rgw_0.3.0.tar.gz |
| Windows binaries: | r-devel: rgw_0.3.0.zip, r-release: rgw_0.3.0.zip, r-oldrel: rgw_0.3.0.zip |
| macOS binaries: | r-release (arm64): rgw_0.3.0.tgz, r-oldrel (arm64): rgw_0.3.0.tgz, r-release (x86_64): rgw_0.3.0.tgz, r-oldrel (x86_64): rgw_0.3.0.tgz |
| Old sources: | rgw archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.