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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "rmdcev" in publications use:'
type: software
license: MIT
title: 'rmdcev: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models'
version: 1.3.3
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rmdcev
abstract: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity.
  The package implements the multiple-discrete continuous extreme value (MDCEV) model
  and the Kuhn-Tucker specification common in the environmental economics literature
  on recreation demand. Latent class and random parameters specifications can be implemented
  and the models are fit using maximum likelihood estimation or Bayesian estimation.
  All models are implemented in 'Stan' (see Stan Development Team, 2019) <https://mc-stan.org/>.
  The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>)
  and welfare calculation (Lloyd-Smith (2018) <https://doi.org/10.1016/j.jocm.2017.12.002>)
  for policy simulation. 'Stan' models can be estimated using either the 'cmdstanr'
  (default) or 'rstan' backend. If using 'cmdstanr', then user will need to install
  'cmdstanr' manually <https://mc-stan.org/cmdstanr/>.
authors:
- family-names: Lloyd-Smith
  given-names: Patrick
  email: patrick.lloydsmith@usask.ca
preferred-citation:
  type: manual
  title: 'rmdcev: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models'
  authors:
  - name: anonymous
  year: '2020'
  notes: R package version 1.3.3
  url: https://github.com/plloydsmith/rmdcev
repository: https://plloydsmith.r-universe.dev
repository-code: https://github.com/plloydsmith/rmdcev
commit: 2bf054fcb3cab844b49c07222be07729c8bf3036
url: https://github.com/plloydsmith/rmdcev
date-released: '2026-05-12'
contact:
- family-names: Lloyd-Smith
  given-names: Patrick
  email: patrick.lloydsmith@usask.ca