Modelling rankings in R: the PlackettLuce package
This paper presents the R package PlackettLuce, which implements a generalization of the Plackett–Luce model for rankings data. The generalization accommodates both ties (of arbitrary order) and partial rankings (complete rankings of subsets of items). By default, the implementation adds a set of ps...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/105547 |
| _version_ | 1855534752202752000 |
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| author | Turner, Heather L. Etten, Jacob van Firth, David Kosmidis, Ioannis |
| author_browse | Etten, Jacob van Firth, David Kosmidis, Ioannis Turner, Heather L. |
| author_facet | Turner, Heather L. Etten, Jacob van Firth, David Kosmidis, Ioannis |
| author_sort | Turner, Heather L. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper presents the R package PlackettLuce, which implements a generalization of the Plackett–Luce model for rankings data. The generalization accommodates both ties (of arbitrary order) and partial rankings (complete rankings of subsets of items). By default, the implementation adds a set of pseudo-comparisons with a hypothetical item, ensuring that the underlying network of wins and losses between items is always strongly connected. In this way, the worth of each item always has a finite maximum likelihood estimate, with finite standard error. The use of pseudo-comparisons also has a regularization effect, shrinking the estimated parameters towards equal item worth. In addition to standard methods for model summary, PlackettLuce provides a method to compute quasi standard errors for the item parameters. This provides the basis for comparison intervals that do not change with the choice of identifiability constraint placed on the item parameters. Finally, the package provides a method for model-based partitioning using covariates whose values vary between rankings, enabling the identification of subgroups of judges or settings with different item worths. The features of the package are demonstrated through application to classic and novel data sets. |
| format | Journal Article |
| id | CGSpace105547 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1055472025-11-12T05:46:03Z Modelling rankings in R: the PlackettLuce package Turner, Heather L. Etten, Jacob van Firth, David Kosmidis, Ioannis models classification statistical methods statistics data modelos clasificación análisis estadístico estadísticas datos This paper presents the R package PlackettLuce, which implements a generalization of the Plackett–Luce model for rankings data. The generalization accommodates both ties (of arbitrary order) and partial rankings (complete rankings of subsets of items). By default, the implementation adds a set of pseudo-comparisons with a hypothetical item, ensuring that the underlying network of wins and losses between items is always strongly connected. In this way, the worth of each item always has a finite maximum likelihood estimate, with finite standard error. The use of pseudo-comparisons also has a regularization effect, shrinking the estimated parameters towards equal item worth. In addition to standard methods for model summary, PlackettLuce provides a method to compute quasi standard errors for the item parameters. This provides the basis for comparison intervals that do not change with the choice of identifiability constraint placed on the item parameters. Finally, the package provides a method for model-based partitioning using covariates whose values vary between rankings, enabling the identification of subgroups of judges or settings with different item worths. The features of the package are demonstrated through application to classic and novel data sets. 2020-09 2019-10-29T09:05:27Z 2019-10-29T09:05:27Z Journal Article https://hdl.handle.net/10568/105547 en Open Access application/pdf Springer Turner, H.L.; van Etten, J.; Firth, D.; Kosmidis, I. (2020) Modelling rankings in R: the PlackettLuce package. Computational Statistics ISSN: 0943-4062 |
| spellingShingle | models classification statistical methods statistics data modelos clasificación análisis estadístico estadísticas datos Turner, Heather L. Etten, Jacob van Firth, David Kosmidis, Ioannis Modelling rankings in R: the PlackettLuce package |
| title | Modelling rankings in R: the PlackettLuce package |
| title_full | Modelling rankings in R: the PlackettLuce package |
| title_fullStr | Modelling rankings in R: the PlackettLuce package |
| title_full_unstemmed | Modelling rankings in R: the PlackettLuce package |
| title_short | Modelling rankings in R: the PlackettLuce package |
| title_sort | modelling rankings in r the plackettluce package |
| topic | models classification statistical methods statistics data modelos clasificación análisis estadístico estadísticas datos |
| url | https://hdl.handle.net/10568/105547 |
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