apollo: Tools for Choice Model Estimation and Application

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) <isbn:978-0-521-74738-7>.

Version: 0.0.6
Depends: R (≥ 3.1.0), stats, utils
Imports: Rcpp (≥ 1.0.0), maxLik, mnormt, graphics, coda, sandwich, randtoolbox, numDeriv, RSGHB, parallel
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, rmarkdown, testthat
Published: 2019-03-13
Author: Stephane Hess [aut], David Palma [aut, cre]
Maintainer: David Palma <D.Palma at leeds.ac.uk>
License: GPL-2
NeedsCompilation: yes
CRAN checks: apollo results

Downloads:

Reference manual: apollo.pdf
Vignettes: Model file examples
Package source: apollo_0.0.6.tar.gz
Windows binaries: r-devel: apollo_0.0.6.zip, r-release: apollo_0.0.6.zip, r-oldrel: apollo_0.0.6.zip
OS X binaries: r-release: apollo_0.0.6.tgz, r-oldrel: apollo_0.0.6.tgz
Old sources: apollo archive

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