Package: Rmodule 1.0

Rmodule: Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation 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.

Authors:John Hughes [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rmodule/json (API)

# Install 'Rmodule' in R:
install.packages('Rmodule', repos = c('https://drjphughesjr.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 174 downloads 1 exports 4 dependencies

Last updated from:6f7d962ff9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK168
source / vignettesOK165
linux-release-arm64OK143
linux-release-x86_64OK170
macos-release-arm64OK92
macos-release-x86_64OK176
macos-oldrel-arm64OK104
macos-oldrel-x86_64OK312
windows-develOK102
windows-releaseOK110
windows-oldrelOK105
wasm-releaseOK98

Exports:update_R

Dependencies:latticeMatrixRcppRcppArmadillo