apollo: Tools for Choice Model Estimation and Application

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. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit www.ApolloChoiceModelling.com. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and Hess, S. & Daly, A.J. (2014) <isbn:978-1-781-00314-5> for an overview of the field.

Version: 0.0.7
Depends: R (≥ 3.1.0), stats, utils
Imports: Rcpp (≥ 1.0.0), maxLik, mnormt, mvtnorm, graphics, coda, sandwich, randtoolbox, numDeriv, RSGHB, parallel
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, rmarkdown, testthat
Published: 2019-05-08
Author: Stephane Hess [aut], David Palma [aut, cre]
Maintainer: David Palma <D.Palma at leeds.ac.uk>
License: GPL-2
NeedsCompilation: yes
Citation: apollo citation info
CRAN checks: apollo results


Reference manual: apollo.pdf
Vignettes: Model file examples
Package source: apollo_0.0.7.tar.gz
Windows binaries: r-devel: apollo_0.0.7.zip, r-release: apollo_0.0.7.zip, r-oldrel: apollo_0.0.7.zip
OS X binaries: r-release: apollo_0.0.7.tgz, r-oldrel: apollo_0.0.7.tgz
Old sources: apollo archive


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