Efficient Designs for Discrete Choice Experiments

Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Traets F, Sanchez G, and Vandebroek M (2020) .


Reference manual

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install.packages("idefix")

1.1.0 by Michel Meulders, 2 years ago


https://github.com/traets/idefix


Browse source code at https://github.com/cran/idefix


Authors: Frits Traets [aut] , Daniel Gil [ctb] , Qusai Iwidat [ctb] , Mouhannad Arabi [ctb] , Martina Vandebroek [ctb] , Michel Meulders [cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, MASS, parallel, Rcpp, Rdpack, stats, scales, tmvtnorm, utils, dfidx, shinyjs, tableHTML

Depends on shiny

Suggests RSGHB, bayesm, testthat, Rchoice, ChoiceModelR

Linking to Rcpp, RcppArmadillo


Imported by DCEtool, cash, cbcTools.


See at CRAN