mcmc2

data

The iteration number of the first observation.

start

The iteration number of the last observation.

The thinning interval between consecutive observations.

thin

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 <code>coda</code> function
 to make more efficient use of memory. An mcmc object may be summarized by the <code>summary</code> function
 and visualized with the <code>plot</code> function. MCMC objects resemble time series (<code>ts</code>) objects and have
 methods for the generic functions <code>time</code>, <code>start</code>,
 <code>end</code>, <code>frequency</code>, and <code>window</code>.

models

This package contains functions for posterior
  simulation for a number of statistical models. All simulation
  is done in compiled C++ written in the Scythe Statistical
  Library Version 0.4. All models return coda mcmc objects that
  can then be summarized using coda functions or the coda menu
  interface.  The package also contains some useful utility
  functions, including some additional PDFs and pseudo-random
  number generators for statistical distributions.

mcmc2: Create Markov Chain Monte Carlo Objects

Description

Usage

Arguments

See Also