mcmc2 {MCMCpack} | R Documentation |
The function mcmc2 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. This works slightly differently than the coda
function
to make more efficient use of memory.
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
.
mcmc2(data= NA, start = 1, end = numeric(0), thin = 1)
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. |
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, which is part of the
coda
package.
Martyn Plummer (slightly modified by Kevin Quinn)