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  "Title": "Discrete Choice and Competitive Reactions: End-to-End Simulation",
  "Authors@R": "c(\nperson(\"Jan H. R.\", \"Dressler\", email = \"jhrd13@tu-clausthal.de\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Peter\", \"Kurz\", role = \"ths\"),\nperson(\"Winfried J.\", \"Steiner\", role = \"ths\"))",
  "Author": "Jan H. R. Dressler [aut, cre, cph], Peter Kurz [ths], Winfried\nJ. Steiner [ths]",
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  "Description": "Although discrete choice (choice-based conjoint) analysis\nhas become a widely used technique for the elicitation of\nconsumer preferences and hence a foundation for product design,\nto the best of our knowledge, there exists neither free and\nopen-source nor commercial software that covers the\ngame-theoretic simulation of competitive reactions among firms\nbased on discrete choice models to improve decision making\nbeyond traditional product (line) optimization. The package\ndoes not only provide functions to fill this gap but comprises\nan entire simulation pipeline including the upstream processes\nof discrete choice analysis itself. It ranges from preference\ngeneration, choice design, design assessment, error and\nresponse simulation, through hierarchical Bayesian estimation\nof mixed logit models as well as convergence and model\nassessment, to Nash equilibrium computation. Doing so, it\npartly draws from established packages concerned with discrete\nchoice analysis. While its structure generally aims towards\nend-to-end simulation as well as simulation of competitive\ndynamics based on real data, all its key elements mentioned\nabove may be of use independently of each other. A paper\naccompanying the package will be available and linked here\nshortly.",
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