mcmc
From coda v0.17-1
by Martyn Plummer
Markov Chain Monte Carlo Objects
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.
- Keywords
- ts
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
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.
See Also
mcmc.list,
mcmcUpgrade,
thin,
window.mcmc,
summary.mcmc,
plot.mcmc.