simmnlwX               package:bayesm               R Documentation

_S_i_m_u_l_a_t_e _f_r_o_m _M_N_L _g_i_v_e_n _X _M_a_t_r_i_x

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

     'simmnlwX' simulates from MNL given X Matrix.

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

     simmnlwX(n, X, beta)

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

       n: number of obs 

       X: n*p x k Design matrix (p is number of choice alts)

    beta: k x 1 coefficient vector 

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

     a list containing: 

       y: n x 1 vector of multinomial outcomes (1, ..., nrow(X)/n)

       X: Design matrix 

    beta: coefficient vector 

    prob: n x p array of choice probs 

_W_a_r_n_i_n_g:

     This routine is a utility routine that does *not* check the input
     arguments for proper dimensions and type.

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

     Peter Rossi, Graduate School of Business, University of Chicago,
     Peter.Rossi@ChicagoGsb.edu.

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

     For further discussion, see _Bayesian Statistics and Marketing_ by
     Rossi, Allenby and McCulloch. 
      <URL:
     http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html>

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

     'simmnl'

