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) ).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.9.0 by Patrick Lloyd-Smith, 3 months ago

Browse source code at

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