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-4.5)Rmodule_1.0.zip(r-4.4)Rmodule_1.0.zip(r-4.3)
Rmodule_1.0.tgz(r-4.4-x86_64)Rmodule_1.0.tgz(r-4.4-arm64)Rmodule_1.0.tgz(r-4.3-x86_64)Rmodule_1.0.tgz(r-4.3-arm64)
Rmodule_1.0.tar.gz(r-4.5-noble)Rmodule_1.0.tar.gz(r-4.4-noble)
Rmodule_1.0.tgz(r-4.4-emscripten)Rmodule_1.0.tgz(r-4.3-emscripten)
Rmodule.pdf |Rmodule.html
Rmodule/json (API)

# Install 'Rmodule' in R:
install.packages('Rmodule', repos = c('https://drjphughesjr.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

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

1.00 score 151 downloads 1 exports 4 dependencies

Last updated 1 years agofrom:6f7d962ff9. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64OKNov 14 2024
R-4.5-linux-x86_64OKNov 14 2024
R-4.4-win-x86_64OKNov 14 2024
R-4.4-mac-x86_64OKNov 14 2024
R-4.4-mac-aarch64OKNov 14 2024
R-4.3-win-x86_64OKNov 14 2024
R-4.3-mac-x86_64OKNov 14 2024
R-4.3-mac-aarch64OKNov 14 2024

Exports:update_R

Dependencies:latticeMatrixRcppRcppArmadillo