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


Reference manual: EloOptimized.pdf
Vignettes: NBA Example


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


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