| CompR-package {CompR} | R Documentation |
Paired Comparison Data Analysis
Description
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.
Details
| Package: | CompR |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2015-07-01 |
| License: | GPL-2 |
| Depends: | methods, MASS, stats, graphics, utils |
Function to estimate products configurations (Bradley's scores) and weights of the
classes is EstimBradley().
Function to perform a test concerning the number of classes is ResSimulLvrRatio().
Function to obtain a graphical representation of Bradley's scores is Piplot().
Author(s)
Michel Semenou
Maintainer: <michel.semenou@oniris-nantes.fr>
See Also
EstimBradley, ResSimulLvrRatio, Piplot
Examples
data(Cocktail)
show(Cocktail)
ResCock1<-EstimBradley(Cocktail,Constraint=0,Tcla=1,eps=0.001,eps1=0.001,TestPi=TRUE)
show(ResCock1)
Res_LvrRatio1<-ResSimulLvrRatio(Cocktail,ResCock1,0,3,level=0.05,eps=0.001,eps1=0.001)
getSimu(Res_LvrRatio1)
getTest(Res_LvrRatio1)