Package: rmdcev
Type: Package
Title: Multiple Discrete-Continuous Extreme Value (MDCEV) Model
Version: 1.1.1
Authors@R: c(
    person(given = "Patrick",
           family = "Lloyd-Smith",
           role = c("aut", "cre"),
           email = "patrick.lloydsmith@usask.ca"),
    person("Trustees of", "Columbia University", 
         role = "cph"))
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>
Description: Estimates different multiple discrete-continuous extreme value (MDCEV) demand model specifications with observed and unobserved individual heterogeneity (Bhat (2008) <doi:10.1016/j.trb.2007.06.002>). Fixed parameter, latent class, and random parameter models can be estimated. These models are estimated using maximum likelihood or Bayesian estimation techniques and are implemented in 'Stan', which is a C++ package for performing full Bayesian inference (see Stan Development Team (2018) <http://mc-stan.org>). The 'rmdcev' package also includes functions for demand simulation (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare simulation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>).
License: MIT + file LICENSE
Depends: R (>= 3.5.0), Rcpp (>= 0.12.0), methods
Imports: rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr (>= 0.7.8),
        tidyselect, parallel, stringr, purrr, tibble, tidyr, rlang,
        utils, stats, tmvtnorm, Formula
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.4.0),
        rstan (>= 2.18.2), StanHeaders (>= 2.18.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Repository: CRAN
SystemRequirements: GNU make C++14
RoxygenNote: 7.0.0
Suggests: knitr, rmarkdown, testthat
Author: Patrick Lloyd-Smith [aut, cre],
  Trustees of Columbia University [cph]
Packaged: 2019-11-22 16:24:51 UTC; Pat
Date/Publication: 2019-11-22 17:50:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 09:29:58 UTC; windows
Archs: i386, x64
