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: |
0.4.2 |
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: |
2022-08-15 |
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 |
Citation: |
PlackettLuce citation info |
Materials: |
README NEWS |
CRAN checks: |
PlackettLuce results |