Tools for Estimating Discrete Choice Models
Description
The Choice Modelling Centre at the
University of Leeds has developed flexible
estimation code for choice models in R.
Users are able to write their own likelihood
functions or use a mix of already available
ones. Mixing, in the form of random coefficients
and components is allowed for all models. Both
classical and Bayesian estimation are available.
Multi-threading processing is supported.
For more information on discrete choice models
see Train, K. (2009) .