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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 |
| 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 |
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