adaptMCMC: Implementation of a generic adaptive Monte Carlo Markov Chain sampler
Version 1.1

This package provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).

Browse man pages Browse package API and functions Browse package files

AuthorAndreas Scheidegger, <andreas.scheidegger@eawag.ch>, <scheidegger.a@gmail.com>
Date of publication2012-06-22 09:34:11
MaintainerAndreas Scheidegger <andreas.scheidegger@eawag.ch>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("adaptMCMC")

Man pages

convert.to.coda: Converts chain(s) into 'coda' objects.
genericMCMC-package: Generic adaptive Monte Carlo Markov Chain sampler
MCMC: (Adaptive) Metropolis Sampler
MCMC.add.samples: Add samples to an existing chain.
MCMC.parallel: Parallel computation of MCMC()

Functions

MCMC Man page Source code
MCMC.add.samples Man page Source code
MCMC.parallel Man page Source code
adaptMCMC Man page
adaptMCMC-package Man page
convert.to.coda Man page Source code

Files

MD5
R
R/Adaptive_MCMC.R
NAMESPACE
man
man/MCMC.Rd
man/MCMC.parallel.Rd
man/MCMC.add.samples.Rd
man/genericMCMC-package.Rd
man/convert.to.coda.Rd
DESCRIPTION
adaptMCMC documentation built on May 19, 2017, 8:29 a.m.