kscheck                 package:mcsm                 R Documentation

_C_o_n_v_e_r_g_e_n_c_e _a_s_s_e_s_s_m_e_n_t _f_o_r _t_h_e _p_u_m_p _f_a_i_l_u_r_e _d_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     This function produces graphs and one or several samples from the
     Gibbs sampler applied to the benchmark of the pump failure dataset
     (given within the function). It also provides convergence
     assessments in connection with the 'coda' package.

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

     kscheck(T = 10^3, heidel = FALSE)

_A_r_g_u_m_e_n_t_s:

       T: Number of Gibbs iterations

  heidel: Boolean indicating whether or not several parallel chains
          need to be simulated

_V_a_l_u_e:

     Depending on the value of 'heidel', the function returns two plots
     of Kolmogorov-Smirnov statistics comparing two different scales or
     the outputs of 'heidel.diag' and 'geweke.diag' functions. It also
     returns as a 'list' the sequence(s) of beta and lambda.

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

     Christian P. Robert and George Casella

_R_e_f_e_r_e_n_c_e_s:

     Chapter 8 of *EnteR Monte Carlo Statistical Methods*

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

     adapump

_E_x_a_m_p_l_e_s:

     outum=kscheck(heidel=TRUE)

