geommc

geommc-package

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.

internal

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.

a Roy

Geometric Markov Chain Sampling

Vivekananda Roy

geommc-package function

Maintainer: Vivekananda Roy <a href="/link/vroy%40iastate.edu?package=geommc&version=1.3.1" data-mini-rdoc="geommc::vroy@iastate.edu">vroy@iastate.edu</a> (<a href="https://orcid.org/0000-0002-2964-9503">ORCID</a>)

Author

geommc: Geometric Markov Chain Sampling — geommc-package

Maintainer: Vivekananda Roy <a href='mailto:vroy@iastate.edu'>vroy@iastate.edu</a> (<a href='https://orcid.org/0000-0002-2964-9503'>ORCID</a>)

geommc-package: geommc: Geometric Markov Chain Sampling

Description

Arguments

Author

See Also