Package: CompR 1.0
Michel Semenou
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.
Authors:
CompR_1.0.tar.gz
CompR_1.0.tar.gz(r-4.5-noble)CompR_1.0.tar.gz(r-4.4-noble)
CompR_1.0.tgz(r-4.4-emscripten)CompR_1.0.tgz(r-4.3-emscripten)
CompR.pdf |CompR.html✨
CompR/json (API)
# Install 'CompR' in R: |
install.packages('CompR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Cocktail - Beverages paired comparison
- Cocktail_Cum - Beverages paired comparison
- ResCocktail1 - Result of 'EstimBradley' function for 1 class and data 'Cocktail'
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:1fc9e8c2bf. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 22 2024 |
R-4.5-linux | NOTE | Dec 22 2024 |
Exports:C_piBTLClassDataPairCompClassifPairedDataSimulH0EstimBradleygetConsgetCritgetIcgetLambdagetLvrgetLvritergetPaircompgetPigetProdgetRestestglobgetRestestprodgetSimugetTestgetVarcovgetZhImportDataPiplotResSimulLvrRatioshow
Dependencies:MASS