simmnlwX(bayesm) | R Documentation |
simmnlwX
simulates from MNL given X Matrix.
simmnlwX(n, X, beta)
n |
number of obs |
X |
n*p x k Design matrix (p is number of choice alts) |
beta |
k x 1 coefficient vector |
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 |
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 Allenby, McCulloch, and Rossi.
http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html