PlackettLuce: Plackett-Luce Models for Rankings

Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> 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) <doi:10.1145/2623330.2623654>. 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.

Version: 0.2-9
Depends: R (≥ 2.10)
Imports: Matrix, igraph, methods, partykit, psychotools, psychotree, RSpectra, qvcalc, sandwich, stats
Suggests: BiocStyle, BayesMallows, BradleyTerry2, BradleyTerryScalable, Matrix.utils, PLMIX, ROlogit, StatRank, covr, hyper2, kableExtra, knitr, lbfgs, gnm, pmr, rmarkdown, testthat
Published: 2019-09-16
Author: Heather Turner ORCID iD [aut, cre], Ioannis Kosmidis ORCID iD [aut], David Firth ORCID iD [aut], Jacob van Etten ORCID iD [ctb]
Maintainer: Heather Turner <ht at>
License: GPL-3
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: PlackettLuce results


Reference manual: PlackettLuce.pdf
Vignettes: Introduction to PlackettLuce
Package source: PlackettLuce_0.2-9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: PlackettLuce_0.2-9.tgz, r-oldrel: PlackettLuce_0.2-9.tgz
Old sources: PlackettLuce archive

Reverse dependencies:

Reverse depends: ClimMobTools
Reverse imports: PLMIX


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