apollo: Tools for Estimating Discrete Choice Models

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: 0.0.1
Depends: R (≥ 3.1.0)
Imports: maxLik, sandwich, numDeriv, randtoolbox, RSGHB, parallel, stats, utils, coda
Suggests: testthat, knitr, rmarkdown
Published: 2019-01-16
Author: Stephane Hess, David Palma
Maintainer: David Palma <D.Palma at leeds.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: apollo results

Downloads:

Reference manual: apollo.pdf
Vignettes: Vignette Title
Package source: apollo_0.0.1.tar.gz
Windows binaries: r-devel: apollo_0.0.1.zip, r-release: apollo_0.0.1.zip, r-oldrel: apollo_0.0.1.zip
OS X binaries: r-release: apollo_0.0.1.tgz, r-oldrel: apollo_0.0.1.tgz

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