simmnl {bayesm} | R Documentation |
simmnl
simulates from the MNL model.
simmnl(p, n, beta)
p |
number choice alternatives |
n |
number of observations |
beta |
MNL coefficient vector |
simmnl
will simulate two uniformly distributed X vars and add intercepts.
y |
n x 1 vector of multinomial outcomes (1, ..., p) |
X |
|
beta |
beta vector |
prob |
n x j array of choice probabilities |
This routine is a utility routine that does not check the input arguments for proper dimensions and type.
Peter Rossi, Graduate School of Business, University of Chicago, Peter.Rossi@ChicagoGsb.edu.
For further discussion, see Bayesian Statistics and Marketing
by Rossi, Allenby, and McCulloch.
http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html