mcmc {coda}R Documentation

Markov Chain Monte Carlo Objects

Description

The function `mcmc' is used to create a Markov Chain Monte Carlo object. The data are taken to be a vector, or a matrix with one column per variable.

An mcmc object may be summarized by the summary function and visualized with the plot function.

MCMC objects resemble time series (ts) objects and have methods for the generic functions time, start, end, frequency and window.

Usage

mcmc(data= NA, start = 1, end = numeric(0), thin = 1)
as.mcmc(x)
is.mcmc(x)

Arguments

data a vector or matrix of MCMC output
start the iteration number of the first observation
end the iteration number of the last observation
thin the thinning interval between consecutive observations
x An object that may be coerced to an mcmc object

Note

The format of the mcmc class has changed between coda version 0.3 and 0.4. Older mcmc objects will now cause is.mcmc to fail with an appropriate warning message. Obsolete mcmc objects can be upgraded with the mcmcUpgrade function.

Author(s)

Martyn Plummer

See Also

mcmc.list, mcmcUpgrade, thin, window.mcmc, summary.mcmc, plot.mcmc.


[Package coda version 0.8-3 Index]