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.
| Version: | 0.1.1 |
| Imports: | Rcpp (≥ 1.0.12), cubature, magrittr, Matrix, matrixcalc, mcmc |
| LinkingTo: | Rcpp |
| Published: | 2024-10-18 |
| DOI: | 10.32614/CRAN.package.geommc |
| Author: | Vivekananda Roy 
[aut, cre] |
| Maintainer: | Vivekananda Roy <vroy at iastate.edu> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/vroys/geommc |
| NeedsCompilation: | yes |
| CRAN checks: | geommc results |
Documentation:
| Reference manual: | geommc.html , geommc.pdf |
Downloads:
| Package source: | geommc_0.1.1.tar.gz |
| Windows binaries: | r-devel: geommc_0.1.1.zip, r-release: geommc_0.1.1.zip, r-oldrel: geommc_0.1.1.zip |
| macOS binaries: | r-release (arm64): geommc_0.1.1.tgz, r-oldrel (arm64): geommc_0.1.1.tgz, r-release (x86_64): geommc_0.1.1.tgz, r-oldrel (x86_64): geommc_0.1.1.tgz |
| Old sources: | geommc archive |
Linking:
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