R package pmr: Probability Models for Ranking Data. 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.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Cristina Mollica, Luca Tardella: PLMIX: An R package for modeling and clustering partially ranked data (2016) arXiv
- Yu, Philip L.H.; Lee, Paul H.; Cheung, S.F.; Lau, Esther Y.Y.; Mok, Doris S.Y.; Hui, Harry C.: Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians (2016)
- Kung, Yi-Hung; Lin, Chang-Ting; Shih, Yu-Shan: Split variable selection for tree modeling on rank data (2012)