sampleMetropolis: gets samples while adopting the MCMC proposal generator
In BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
View source: R/mcmcMetropolis.R
sampleMetropolis R Documentation
gets samples while adopting the MCMC proposal generator
Description
Function to sample with cobinations of the basic Metropolis-Hastings MCMC algorithm (Metropolis et al., 1953), a variation of the adaptive Metropolis MCMC (Haario et al., 2001), the delayed rejection algorithm (Tierney & Mira, 1999), and the delayed rejection adaptive Metropolis algorithm (DRAM, Haario et al), and the Metropolis within Gibbs
Usage
sampleMetropolis(mcmcSampler, iterations)
Arguments
mcmcSampler
an mcmcSampler
iterations
iterations
Author(s)
Florian Hartig
BayesianTools documentation built on Feb. 16, 2023, 8:44 p.m.
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View source: R/mcmcMetropolis.R
| sampleMetropolis | R Documentation |
gets samples while adopting the MCMC proposal generator
Description
Function to sample with cobinations of the basic Metropolis-Hastings MCMC algorithm (Metropolis et al., 1953), a variation of the adaptive Metropolis MCMC (Haario et al., 2001), the delayed rejection algorithm (Tierney & Mira, 1999), and the delayed rejection adaptive Metropolis algorithm (DRAM, Haario et al), and the Metropolis within Gibbs
Usage
sampleMetropolis(mcmcSampler, iterations)
Arguments
mcmcSampler |
an mcmcSampler |
iterations |
iterations |
Author(s)
Florian Hartig
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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