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:	0.2-6
Depends:	R (≥ 2.10)
Imports:	Matrix, igraph, methods, partykit, psychotools, psychotree, rARPACK, qvcalc, sandwich, stats
Suggests:	BiocStyle, BradleyTerry2, BradleyTerryScalable, Matrix.utils, PLMIX, StatRank, covr, hyper2, kableExtra, knitr, lbfgs, gnm, pmr, rmarkdown, testthat, tibble
Published:	2019-04-01
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/
NeedsCompilation:	no
Language:	en-GB
Materials:	README NEWS
CRAN checks:	PlackettLuce results

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