EloOptimized: Optimized Elo Rating Method for Obtaining Dominance Ranks

Provides an implementation of the maximum likelihood methods for deriving Elo scores as published in Foerster, Franz et al. (2016) <doi:10.1038/srep35404>.

Version:	0.3.1
Depends:	R (≥ 3.3.0)
Imports:	dplyr, reshape2, BAMMtools, magrittr, lubridate, rlang
Suggests:	knitr, rmarkdown, ggplot2
Published:	2021-06-10
Author:	Joseph Feldblum [aut, cre], Steffen Foerster [aut], Mathias Franz [aut]
Maintainer:	Joseph Feldblum <feldblum at umich.edu>
BugReports:	https://github.com/jtfeld/EloOptimized/issues
License:	GPL-3
URL:	https://github.com/jtfeld/EloOptimized
NeedsCompilation:	no
Materials:	README NEWS
In views:	SportsAnalytics
CRAN checks:	EloOptimized results

Documentation:

Reference manual:	EloOptimized.pdf
Vignettes:	NBA Example

Downloads:

Package source:	EloOptimized_0.3.1.tar.gz
Windows binaries:	r-devel: EloOptimized_0.3.1.zip, r-release: EloOptimized_0.3.1.zip, r-oldrel: EloOptimized_0.3.1.zip
macOS binaries:	r-release (arm64): EloOptimized_0.3.1.tgz, r-oldrel (arm64): EloOptimized_0.3.1.tgz, r-release (x86_64): EloOptimized_0.3.1.tgz, r-oldrel (x86_64): EloOptimized_0.3.1.tgz
Old sources:	EloOptimized archive

Linking:

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