Package: Rmodule 1.0
John Hughes
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:
Rmodule_1.0.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:6f7d962ff9. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 11 2024 |
| R-4.5-linux-x86_64 | OK | Oct 11 2024 |
Exports:update_R
Dependencies:latticeMatrixRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Update the state vector of the correlation parameters. | update_R |
