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) < 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) ).


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install.packages("rmdcev")

0.9.0 by Patrick Lloyd-Smith, a month ago


Browse source code at https://github.com/cran/rmdcev


Authors: Patrick Lloyd-Smith [aut, cre] , Trustees of Columbia University [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports rstan, rstantools, dplyr, tidyselect, parallel, stringr, purrr, tibble, tidyr, rlang, utils, stats, tmvtnorm

Depends on Rcpp, methods

Suggests knitr, rmarkdown, testthat

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make C++14


See at CRAN