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

_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 `upgrade.mcmc' function.

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

     Martyn Plummer

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

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

