The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
The SALTSampler package facilitates Monte Carlo Markov Chain (MCMC) sampling of random variables on a simplex. A Self-Adjusting Logit Transform (SALT) proposal is used so that sampling is still efficient even in difficult cases, such as those in high dimensions or with parameters that differ by orders of magnitude. Special care is also taken to maintain accuracy even when some coordinates approach 0 or 1 numerically. Diagnostic and graphic functions are included in the package, enabling easy assessment of the convergence and mixing of the chain within the constrained space.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.0.0), lattice |
| Imports: | graphics, methods, stats |
| Suggests: | knitr, coda |
| Published: | 2017-08-10 |
| DOI: | 10.32614/CRAN.package.SALTSampler |
| Author: | Hannah Director, Scott Vander Wiel, James Gattiker |
| Maintainer: | Scott Vander Wiel <scottv at lanl.gov> |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | SALTSampler results |
| Reference manual: | SALTSampler.pdf |
| Package source: | SALTSampler_1.1.0.tar.gz |
| Windows binaries: | r-devel: SALTSampler_1.1.0.zip, r-release: SALTSampler_1.1.0.zip, r-oldrel: SALTSampler_1.1.0.zip |
| macOS binaries: | r-release (arm64): SALTSampler_1.1.0.tgz, r-oldrel (arm64): SALTSampler_1.1.0.tgz, r-release (x86_64): SALTSampler_1.1.0.tgz, r-oldrel (x86_64): SALTSampler_1.1.0.tgz |
| Old sources: | SALTSampler archive |
Please use the canonical form https://CRAN.R-project.org/package=SALTSampler to link to this page.
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.