Sequential Pairwise Online Rating Techniques
Overview
Calculates ratings for two-player or multi-player challenges. Methods included in package such as are able to estimate ratings (players strengths) and their evolution in time, also able to predict output of challenge. Algorithms are based on Bayesian Approximation Method, and they don't involve any matrix inversions nor likelihood estimation. Parameters are updated sequentially, and computation doesn't require any additional RAM to make estimation feasible. Additionally, base of the package is written in C++ what makes sport computation even faster. Methods used in the package refer to Mark E. Glickman (1999) https://www.glicko.net/research/glicko.pdf; Mark E. Glickman (2001) doi:10.1080/02664760120059219; Ruby C. Weng, Chih-Jen Lin (2011) https://www.jmlr.org/papers/volume12/weng11a/weng11a.pdf; W. Penny, Stephen J. Roberts (1999) doi:10.1109/IJCNN.1999.832603.
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Changes:
- Fixes for
ggplot2version 4.0.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- NOTE12 OK, 1 NOTE2026-06-08
- OK14 OK2026-04-22
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- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 10 (1 internal)
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 81%
- Median days to close, 50 most recently updated closed issues
- 2
- Median days to close, 50 most recently updated closed PRs
- 0
Issues over time
11 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/gogonzo/sport on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-03-16 · The repository has a site deploy workflow
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- Claude Codefirst seen 2026-04-07Pull request it wrote: opened by a project member
Dependencies
Installing sport adds 19 packages (9 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.2.12024-01-09 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.2.02020-01-07 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.22019-01-08 · diff ↗
- 0.1.12018-09-11 · diff ↗
- 0.1.02018-09-03
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-09-03
- Total releases
- 6 / 8 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0
- Bundled data
- 79 KB / 2 files
- Download size
- 306 KB
Cite
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Run in R for the authors' preferred citation:
citation("sport")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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