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: | 0.0.1 |
Imports: | Rcpp (≥ 1.0.12), cubature, magrittr, Matrix, matrixcalc, mcmc |
LinkingTo: | Rcpp |
Published: | 2024-06-27 |
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 |
Reference manual: | geommc.pdf |
Package source: | geommc_0.0.1.tar.gz |
Windows binaries: | r-devel: geommc_0.0.1.zip, r-release: geommc_0.0.1.zip, r-oldrel: geommc_0.0.1.zip |
macOS binaries: | r-release (arm64): geommc_0.0.1.tgz, r-oldrel (arm64): geommc_0.0.1.tgz, r-release (x86_64): geommc_0.0.1.tgz, r-oldrel (x86_64): geommc_0.0.1.tgz |
Old sources: | geommc archive |
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