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PlackettLuce  

Plackett-Luce Models for Rankings
View on CRAN: Click here


Download and install PlackettLuce package within the R console
Install from CRAN:
install.packages("PlackettLuce")

Install from Github:
library("remotes")
install_github("cran/PlackettLuce")

Install by package version:
library("remotes")
install_version("PlackettLuce", "0.4.3")



Attach the package and use:
library("PlackettLuce")
Maintained by
Heather Turner
[Scholar Profile | Author Map]
First Published: 2017-12-07
Latest Update: 2023-06-16
Description:
Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) . Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details.
How to cite:
Heather Turner (2017). PlackettLuce: Plackett-Luce Models for Rankings. R package version 0.4.3, https://cran.r-project.org/web/packages/PlackettLuce. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.2-1 (2017-12-07 13:14), 0.2-2 (2018-02-19 23:02), 0.2-3 (2018-04-09 14:58), 0.2-5 (2019-03-21 00:09), 0.2-6 (2019-04-01 23:40), 0.2-8 (2019-09-05 12:20), 0.2-9 (2019-09-16 18:00), 0.3.1 (2020-10-13 15:00), 0.3.2 (2021-01-04 13:40), 0.4.0 (2021-03-29 16:02), 0.4.1 (2021-08-16 17:40), 0.4.2 (2022-08-15 09:50)
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Complete documentation for PlackettLuce
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