Crandore Hub

CompR

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.

Versions across snapshots

VersionRepositoryFileSize
1.0 2026-04-09 windows/windows R-4.5 CompR_1.0.zip 256.8 KiB

Dependencies (latest)

Depends