elo: Ranking Teams by Elo Rating and Comparable Methods

A flexible framework for calculating Elo ratings and resulting rankings of any two-team-per-matchup system (chess, sports leagues, 'Go', etc.). This implementation is capable of evaluating a variety of matchups, Elo rating updates, and win probabilities, all based on the basic Elo rating system. It also includes methods to benchmark performance, including logistic regression and Markov chain models.

Version:	3.0.2
Depends:	R (≥ 3.6.0), stats
Imports:	Rcpp, pROC
LinkingTo:	Rcpp
Suggests:	knitr, testthat, rmarkdown
Published:	2023-08-23
DOI:	10.32614/CRAN.package.elo
Author:	Ethan Heinzen [aut, cre]
Maintainer:	Ethan Heinzen <heinzen.ethan at mayo.edu>
BugReports:	https://github.com/eheinzen/elo/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/eheinzen/elo, https://cran.r-project.org/package=elo, https://eheinzen.github.io/elo/
NeedsCompilation:	yes
Materials:	README NEWS
In views:	SportsAnalytics
CRAN checks:	elo results

Documentation:

Reference manual:	elo.pdf
Vignettes:	Comparison Methods Introduction to Elo Rankings and the 'elo' Package Calculating Running Elo Updates

Downloads:

Package source:	elo_3.0.2.tar.gz
Windows binaries:	r-devel: elo_3.0.2.zip, r-release: elo_3.0.2.zip, r-oldrel: elo_3.0.2.zip
macOS binaries:	r-release (arm64): elo_3.0.2.tgz, r-oldrel (arm64): elo_3.0.2.tgz, r-release (x86_64): elo_3.0.2.tgz, r-oldrel (x86_64): elo_3.0.2.tgz
Old sources:	elo archive

Reverse dependencies:

Reverse suggests:

fitzRoy

Linking:

Please use the canonical form https://CRAN.R-project.org/package=elo to link to this page.