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Different tools for describing and analysing paired comparison data are presented. Main methods are estimation of products scores according Bradley Terry Luce model. A segmentation of the individual could be conducted on the basis of a mixture distribution approach. The number of classes can be tested by the use of Monte Carlo simulations. This package deals also with multi-criteria paired comparison data.

Type Size Name Uploaded Downloads Labels
conda 277.1 kB | noarch/r-compr-1.0-r43h142f84f_0.tar.bz2  1 year and 1 month ago 20 main
conda 271.1 kB | noarch/r-compr-1.0-r42h142f84f_0.tar.bz2  2 years and 8 months ago 53 main
conda 219.2 kB | noarch/r-compr-1.0-r36h6115d3f_0.tar.bz2  5 years and 3 days ago 125 main

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