Braking                 package:mcsm                 R Documentation

_Q_u_a_d_r_a_t_i_c _r_e_g_r_e_s_s_i_o_n _o_n _t_h_e _c_a_r _b_r_a_k_i_n_g _d_a_t_a_s_e_t

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

     This function uses MCMC to analyse the car braking dataset cars
     via a quadratic regression model. The underlying MCMC algorithm is
     an independent Metropolis-Hastings algorithm  centered at the MLE.

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

     Braking(nsim = 10^3)

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

    nsim: Number of iterations in the MCMC algorithm

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

     Returns a plot of some simulated regression lines along with their
     average and the original data.

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

     Christian P. Robert and George Casella

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

     Chapter 3 of *EnteR Monte Carlo Statistical Methods*

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

     Braking(10^4)

