The Choice Modelling Centre (CMC) at the University of Leeds has developed flexible code for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multithreading processing is supported for estimation and a large number of pre and postestimation routines, including for computing posterior (individuallevel) distributions are available. For examples, a manual, and a support forum, visit <http://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:9780521747387> and Hess, S. & Daly, A.J. (2014) <isbn:9781781003145> for an overview of the field.
Package details 


Author  Stephane Hess [aut], David Palma [aut, cre], Thomas Hancock [ctb] 
Maintainer  David Palma <D.Palma@leeds.ac.uk> 
License  GPL2 
Version  0.2.5 
URL  http://www.apolloChoiceModelling.com 
Package repository  View on CRAN 
Installation 
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