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 |
| 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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