Package: geommc 0.1.1
geommc: Geometric Markov Chain Sampling
Simulates from discrete and continuous target distributions using geometric Metropolis-Hastings (MH) algorithms. Users specify the target distribution by an R function that evaluates the log un-normalized pdf or pmf. The package also contains a function implementing a specific geometric MH algorithm for performing high dimensional Bayesian variable selection.
Authors:
geommc_0.1.1.tar.gz
geommc_0.1.1.zip(r-4.5)geommc_0.1.1.zip(r-4.4)geommc_0.1.1.zip(r-4.3)
geommc_0.1.1.tgz(r-4.4-x86_64)geommc_0.1.1.tgz(r-4.4-arm64)geommc_0.1.1.tgz(r-4.3-x86_64)geommc_0.1.1.tgz(r-4.3-arm64)
geommc_0.1.1.tar.gz(r-4.5-noble)geommc_0.1.1.tar.gz(r-4.4-noble)
geommc_0.1.1.tgz(r-4.4-emscripten)geommc_0.1.1.tgz(r-4.3-emscripten)
geommc.pdf |geommc.html✨
geommc/json (API)
| # Install 'geommc' in R: |
| install.packages('geommc', repos = c('https://vroys.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vroys/geommc/issues
Last updated 5 days agofrom:d5512f353a. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 13 2024 |
| R-4.5-win-x86_64 | OK | Sep 13 2024 |
| R-4.5-linux-x86_64 | OK | Sep 13 2024 |
| R-4.4-win-x86_64 | OK | Sep 13 2024 |
| R-4.4-mac-x86_64 | OK | Sep 13 2024 |
| R-4.4-mac-aarch64 | OK | Sep 13 2024 |
| R-4.3-win-x86_64 | OK | Sep 13 2024 |
| R-4.3-mac-x86_64 | OK | Sep 13 2024 |
| R-4.3-mac-aarch64 | OK | Sep 13 2024 |
Dependencies:cubaturelatticemagrittrMatrixmatrixcalcmcmcRcpp
