Package: cash
Version: 1.0.2
Title: Discrete Choice and Competitive Reactions: End-to-End Simulation
Authors@R: c(
    person("Jan H. R.", "Dressler", email = "jhrd13@tu-clausthal.de", role = c("aut", "cre", "cph")),
	person("Peter", "Kurz", role = "ths"),
	person("Winfried J.", "Steiner", role = "ths"))
Author: Jan H. R. Dressler [aut, cre, cph],
  Peter Kurz [ths],
  Winfried J. Steiner [ths]
Maintainer: Jan H. R. Dressler <jhrd13@tu-clausthal.de>
License: GPL (>= 3)
Imports: reshape2, ggplot2, idefix (>= 1.1.0), DoE.base, evd, bayesm,
        coda, ggridges, foreach, doParallel, parallel, doRNG, Rcpp,
        arrangements, grDevices, stats, utils
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 8.0.0
Repository: CRAN
Description: Although discrete choice (choice-based conjoint) analysis has become a widely used 
        technique for the elicitation of consumer preferences and hence a foundation for product 
	design, to the best of our knowledge, there exists neither free and open-source nor 
	commercial software that covers the game-theoretic simulation of competitive reactions among 
	firms based on discrete choice models to improve decision making beyond traditional product 
	(line) optimization. The package does not only provide functions to fill this gap but 
	comprises an entire simulation pipeline including the upstream processes of discrete choice 
	analysis itself. It ranges from preference generation, choice design, design assessment, 
	error and response simulation, through hierarchical Bayesian estimation of mixed logit models 
	as well as convergence and model assessment, to Nash equilibrium computation. Doing so, it 
	partly draws from established packages concerned with discrete choice analysis. While its 
	structure generally aims towards end-to-end simulation as well as simulation of competitive 
	dynamics based on real data, all its key elements mentioned above may be of use independently 
	of each other. A paper accompanying the package will be available and linked here shortly.
NeedsCompilation: yes
Packaged: 2026-06-04 01:49:13 UTC; jan_d
Date/Publication: 2026-06-09 07:20:11 UTC
