coda (version 0.17-1)

mcmc: 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

...

Further arguments to be passed to specific methods

See Also

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