mcmc                  package:coda                  R Documentation

_M_a_r_k_o_v _C_h_a_i_n _M_o_n_t_e _C_a_r_l_o _O_b_j_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_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' 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'.

_U_s_a_g_e:

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

_A_r_g_u_m_e_n_t_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 observations

       x: An object that may be coerced to an mcmc object

_N_o_t_e:

     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.

_A_u_t_h_o_r(_s):

     Martyn Plummer

_S_e_e _A_l_s_o:

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

