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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) <doi:10.18637/jss.v096.i03>.

copied from cf-staging / r-idefix
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conda 359.5 kB | win-64/r-idefix-1.1.0-r43hec15cfb_0.conda  5 months and 13 days ago 45 main
conda 362.0 kB | win-64/r-idefix-1.1.0-r44hec15cfb_0.conda  5 months and 13 days ago 48 main
conda 363.5 kB | osx-64/r-idefix-1.1.0-r43hda2d453_0.conda  5 months and 13 days ago 32 main
conda 366.7 kB | osx-64/r-idefix-1.1.0-r44hda2d453_0.conda  5 months and 13 days ago 33 main
conda 367.4 kB | linux-64/r-idefix-1.1.0-r44hc2d650c_0.conda  5 months and 13 days ago 406 main
conda 364.3 kB | linux-64/r-idefix-1.1.0-r43hc2d650c_0.conda  5 months and 13 days ago 415 main

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