

   MMaarrkkoovv CChhaaiinn MMoonnttee CCaarrlloo OObbjjeeccttss

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

   AArrgguummeennttss::

       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 observa-
             tions

   DDeessccrriippttiioonn::

        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' func-
        tion 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'.

   AAuutthhoorr((ss))::

        Martyn Plummer

   SSeeee AAllssoo::

        `mcmc.list', `upgrade.mcmc', `thin', `window.mcmc',
        `summary.mcmc', `plot.mcmc'.

