reparareff               package:mcsm               R Documentation

_R_e_p_a_r_a_m_e_t_e_r_i_z_e_d _v_e_r_s_i_o_n _o_f _t_h_e _o_n_e-_w_a_y _r_a_n_d_o_m _e_f_f_e_c_t _m_o_d_e_l

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

     This function proposes a reanalysis of the one-way random effect
     model processed in 'randomeff' via a Gibbs sampler using another
     parameterization of the model in order to exhibit a different
     convergent behavior.

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

     reparareff(nsim = 10^4, a = 10, b = 10)

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

    nsim: Number of Gibbs iterations

       a: Common shape parameter for the inverted variances

       b: Common scale parameter for the inverted variances

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

     This function produces a plot made of six 'acf' output
     corresponding to the  parameters mu, theta1, and theta2, both in
     the original parameterization and in the new one.

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

     Christian P. Robert and George Casella

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

     Chapter 7 of *EnteR Monte Carlo Statistical Methods*

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

     randomeff

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

     reparareff(10^4,a=1,b=1)

