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Rmodule: Automated Markov Chain Monte Carlo for Arbitrarily StructuredCorrelation Matrices

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

Documentation:

Reference manual:Rmodule.html ,Rmodule.pdf

Downloads:

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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