{ "_id": "6acf70b8e2d863f6629522ea", "Package": "rmdcev", "Type": "Package", "Title": "Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value\nModels", "Version": "1.3.4", "Authors@R": "c(\nperson(given = \"Patrick\",\nfamily = \"Lloyd-Smith\",\nrole = c(\"aut\", \"cre\"),\nemail = \"patrick.lloydsmith@usask.ca\"),\nperson(\"Trustees of\", \"Columbia University\",\nrole = \"cph\"))", "Maintainer": "Patrick Lloyd-Smith ", "Description": "Estimates and simulates Kuhn-Tucker demand models with\nindividual heterogeneity. The package implements the\nmultiple-discrete continuous extreme value (MDCEV) model and\nthe Kuhn-Tucker specification common in the environmental\neconomics literature on recreation demand. Latent class and\nrandom parameters specifications can be implemented and the\nmodels are fit using maximum likelihood estimation or Bayesian\nestimation. All models are implemented in 'Stan' (see Stan\nDevelopment Team, 2019) . 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