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: | 1.1.1 |
Depends: | R (≥ 3.5.0), 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, Formula |
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: | 2019-11-22 |
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 |
Reference manual: | rmdcev.pdf |
Package source: | rmdcev_1.1.1.tar.gz |
Windows binaries: | r-devel: rmdcev_1.1.1.zip, r-release: rmdcev_1.1.1.zip, r-oldrel: rmdcev_1.1.1.zip |
macOS binaries: | r-release: rmdcev_1.1.1.tgz, r-oldrel: rmdcev_1.1.1.tgz |
Old sources: | rmdcev archive |
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