Probability Models for Ranking Data
The Analytic hierarchy process (AHP)
Distance-based Models
Descriptive statistics of a ranking dataset
Local k-nearest neighbor method for label ranking.
Local k-nearest neighbor method for label ranking.
Multidimensional preference analysis.
phi-component Models
The Luce Models
Probability Models for Ranking Data
Summary of a ranking dataset.
Visualizing rankings of 3 or 4 items by plot.
Inverse of a ranking dataset.
The Rank-ordered Logit Models
Weighted Distance-based Models
Descriptive statistics (mean rank, pairwise frequencies, and marginal matrix), Analytic Hierarchy Process models (with Saaty's and Koczkodaj's inconsistencies), probability models (Luce models, distance-based models, and rank-ordered logit models) and visualization with multidimensional preference analysis for ranking data are provided. Current, only complete rankings are supported by this package.