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: 0.4.3 Depends: R (≥ 2.10) Imports: CVXR, Matrix, igraph, matrixStats, methods, partykit, psychotools, psychotree, R6, RSpectra, qvcalc, sandwich, stats Suggests: BiocStyle, BayesMallows, BradleyTerry2, PLMIX, ROlogit, StatRank, bookdown, covr, hyper2, kableExtra, knitr, lbfgs, gnm, pmr, prefmod, rmarkdown, survival, testthat Published: 2023-06-16 DOI: 10.32614/CRAN.package.PlackettLuce Author: Heather Turner [aut, cre], Ioannis Kosmidis [aut], David Firth [aut], Jacob van Etten [ctb] Maintainer: Heather Turner <ht at heatherturner.net> BugReports: https://github.com/hturner/PlackettLuce/issues License: GPL-3 URL: https://hturner.github.io/PlackettLuce/, https://github.com/hturner/PlackettLuce NeedsCompilation: no Language: en-GB Citation: PlackettLuce citation info Materials: README, NEWS CRAN checks: PlackettLuce results [issues need fixing before 2025-09-03] Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=PlackettLuce to link to this page.
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