Multiple Discrete-Continuous Extreme Value (MDCEV) Model
c(
person(given = "Patrick",
family = "Lloyd-Smith",
role = c("aut", "cre"),
email = "patrick.lloydsmith@usask.ca"),
person("Trustees of", "Columbia University",
role = "cph"))
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>).
rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr (>= 0.7.8),
tidyselect, parallel, stringr, purrr, tibble, tidyr, rlang,
utils, stats, tmvtnorm
Patrick Lloyd-Smith [aut, cre],
Trustees of Columbia University [cph]

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>).
rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr (>= 0.7.8),
tidyselect, parallel, stringr, purrr, tibble, tidyr, rlang,
utils, stats, tmvtnorm, Formula