The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Supports automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. The user supplies data, a correlation matrix in symbolic form, the current state of the chain, a function that computes the log likelihood, and a list of prior distributions. The package's flagship function then carries out a parameter-at-a-time update of all correlation parameters, and returns the new state. The method is presented in Hughes (2023), in preparation.
| Version: | 1.0 |
| Imports: | Rcpp (≥ 1.0.9), utils, Matrix |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2023-08-18 |
| DOI: | 10.32614/CRAN.package.Rmodule |
| Author: | John Hughes [aut, cre] |
| Maintainer: | John Hughes <drjphughesjr at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | Rmodule results |
| Reference manual: | Rmodule.pdf |
| Package source: | Rmodule_1.0.tar.gz |
| Windows binaries: | r-devel: Rmodule_1.0.zip, r-release: Rmodule_1.0.zip, r-oldrel: Rmodule_1.0.zip |
| macOS binaries: | r-release (arm64): Rmodule_1.0.tgz, r-oldrel (arm64): Rmodule_1.0.tgz, r-release (x86_64): Rmodule_1.0.tgz, r-oldrel (x86_64): Rmodule_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Rmodule 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.
Health stats visible at Monitor.