Plackett-Luce Models for Rankings
Overview
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.
- Replace defunct CVXR::solve with CVXR::psolve
- Use bookdown vs BiocStyle for vignettes
- Enable Overview vignette to build without kableExtra package
- Add salad data to remove prefmod dependency
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-02
- ERROR6 OK, 8 ERROR2026-03-10
Documentation
- Help pages
- 26 (4 internal)includes a package overview page
- Examples that run
- 100%22 run in a plain check
- Exported functions with examples
- 87%
- Documented parameters
- 93%
- Return-value docs
- 80%
- Help pages citing references
- 35%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 60
- Median days to close, 50 most recently updated closed PRs
- 0
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11 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/hturner/plackettluce on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-03-24 · The repository has a site deploy workflow
pkgdown site last built 2026-03-24, before release 0.4.5 (2026-03-25)
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Dependencies
Installing PlackettLuce adds 35 packages (26 with compiled code, 31 MB of source tarballs). Heaviest: clarabel 5.7 MB, igraph 4.8 MB, partykit 2.1 MB.
Code & Tests
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Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.4.5Latest
- 0.4.42025-09-03 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.4.32023-06-16 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.4.22022-08-15 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.4.12021-08-16 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.4.0
- 0.3.22021-01-04 · diff ↗
- 0.3.12020-10-13 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.2-92019-09-16 · diff ↗
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- 0.2-82019-09-05 · diff ↗ ·
added 8 exports
as.aggregated_rankings, complete, decode, freq, group, read.soi, read.toc, read.toi - RR 3.6.0 released · 2019-04-26
- 0.2-62019-04-01 · diff ↗
- 0.2-52019-03-21 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.2-3
- 0.2-22018-02-19 · diff ↗
- 0.2-12017-12-07
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-12-07
- Total releases
- 15 / 9 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 12 KB / 4 files
- Download size
- 1.7 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("PlackettLuce")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
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From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.