rmdcev (0.9.0)

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Multiple Discrete-Continuous Extreme Value (MDCEV) Model.


Estimates different multiple discrete-continuous extreme value (MDCEV) demand model specifications with observed and unobserved individual heterogeneity (Bhat (2008) ). 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) ). The 'rmdcev' package also includes functions for demand simulation (Pinjari and Bhat (2011) ) and welfare simulation (Lloyd-Smith (2018) ).

Maintainer: Patrick Lloyd-Smith
Author(s): Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]

License: MIT + file LICENSE

Uses: dplyr, purrr, Rcpp, rlang, rstan, rstantools, stringr, tibble, tidyr, tidyselect, tmvtnorm, testthat, knitr, rmarkdown

Released 5 months ago.



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