rmdcev: 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) <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>).

Version: 0.9.0
Depends: R (≥ 3.4.0), 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
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.4.0), rstan (≥ 2.18.2), StanHeaders (≥ 2.18.0)
Suggests: knitr, rmarkdown, testthat
Published: 2019-06-21
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith at usask.ca>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make C++14
Citation: rmdcev citation info
Materials: README NEWS
CRAN checks: rmdcev results

Downloads:

Reference manual: rmdcev.pdf
Package source: rmdcev_0.9.0.tar.gz
Windows binaries: r-devel: rmdcev_0.9.0.zip, r-devel-gcc8: rmdcev_0.9.0.zip, r-release: rmdcev_0.9.0.zip, r-oldrel: rmdcev_0.9.0.zip
OS X binaries: r-release: rmdcev_0.9.0.tgz, r-oldrel: rmdcev_0.9.0.tgz

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