simmnl                package:bayesm                R Documentation

_S_i_m_u_l_a_t_e _f_r_o_m _M_u_l_t_i_n_o_m_i_a_l _L_o_g_i_t _M_o_d_e_l

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

     'simmnl' simulates from the MNL model.

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

     simmnl(p, n, beta)

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

       p: number choice alternatives 

       n: number of observations 

    beta: MNL coefficient vector 

_D_e_t_a_i_l_s:

     'simmnl' will simulate two uniformly distributed X vars and add
     intercepts.

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

       y: n x 1 vector of multinomial outcomes (1, ..., p)

       X: 

    beta: beta vector 

    prob: n x j array of choice probabilities 

_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:

     'llmnl', 'rmnlIndepMetrop'

