Paired Comparison Data Analysis
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.
|Depends:||methods, MASS, stats, graphics, utils|
Function to estimate products configurations (Bradley's scores) and weights of the
Function to perform a test concerning the number of classes is
Function to obtain a graphical representation of Bradley's scores is
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