simmnlwX {bayesm} | R Documentation

## Simulate from MNL given X Matrix

### Description

`simmnlwX` simulates from MNL given X Matrix.

### Usage

    simmnlwX(n, X, beta)

### Arguments

`n` | number of obs
`X` | n*p x k Design matrix (p is number of choice alts)
`beta` | k x 1 coefficient vector

### Value

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

### Warning

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

### Author(s)

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

### References

For further discussion, see Bayesian Statistics and Marketing by Rossi, Allenby and McCulloch.
http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html

### See Also

`simmnl`

[Package bayesm version 2.0-8 Index]