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.
| Version: |
1.2.5 |
| Depends: |
stats4 |
| Published: |
2015-05-15 |
| Author: |
Paul H. Lee and Philip L. H. Yu |
| Maintainer: |
Paul H. Lee <honglee at graduate.hku.hk> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
pmr results |
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