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]

Rmodule_1.0.tar.gz
Rmodule_1.0.zip(r-4.7)Rmodule_1.0.zip(r-4.6)Rmodule_1.0.zip(r-4.5)
Rmodule_1.0.tgz(r-4.6-x86_64)Rmodule_1.0.tgz(r-4.6-arm64)Rmodule_1.0.tgz(r-4.5-arm64)Rmodule_1.0.tgz(r-4.5-x86_64)
Rmodule_1.0.tar.gz(r-4.7-arm64)Rmodule_1.0.tar.gz(r-4.7-x86_64)Rmodule_1.0.tar.gz(r-4.6-arm64)Rmodule_1.0.tar.gz(r-4.6-x86_64)
Rmodule_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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 173 downloads 1 exports 4 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK163
linux-devel-x86_64OK171
source / vignettesOK139
linux-release-arm64OK135
linux-release-x86_64OK127
macos-release-arm64OK95
macos-release-x86_64OK191
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK296
windows-develOK110
windows-releaseOK141
windows-oldrelOK111
wasm-releaseOK110

Exports:update_R

Dependencies:latticeMatrixRcppRcppArmadillo