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>.

Total

1,461

Last month

842

Last week

181

Average per day

28

Daily downloads

Total downloads

Description file content

Package
apollo
Type
Package
Title
Tools for Choice Model Estimation and Application
Version
0.0.6
Description
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) .
License
GPL-2
Encoding
UTF-8
LazyData
true
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
VignetteBuilder
knitr
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-03-13 17:19:49 UTC; palma
Author
Stephane Hess [aut], David Palma [aut, cre]
Maintainer
David Palma
Repository
CRAN
Date/Publication
2019-03-13 21:13:53 UTC

install.packages('apollo')

0.0.6

9 days ago

David Palma

GPL-2

Depends on

R (>= 3.1.0), stats, utils

Imports

Rcpp (>= 1.0.0), maxLik, mnormt, graphics, coda, sandwich, randtoolbox, numDeriv, RSGHB, parallel

Suggests

knitr, rmarkdown, testthat

Discussions