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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: 0.3.2
Depends: R (≥ 3.3.0)
Imports: dplyr, reshape2, BAMMtools, magrittr, methods, lubridate, rlang
Suggests: knitr, rmarkdown, ggplot2
Published: 2024-05-21
DOI: 10.32614/CRAN.package.EloOptimized
Author: Joseph Feldblum [aut, cre], Steffen Foerster [aut], Mathias Franz [aut]
Maintainer: Joseph Feldblum <jtf9 at duke.edu>
BugReports: https://github.com/jtfeld/EloOptimized/issues
License: GPL-3
URL: https://github.com/jtfeld/EloOptimized
NeedsCompilation: no
Materials: README NEWS
CRAN checks: EloOptimized results

Documentation:

Reference manual: EloOptimized.pdf
Vignettes: NBA Example

Downloads:

Package source: EloOptimized_0.3.2.tar.gz
Windows binaries: r-devel: EloOptimized_0.3.2.zip, r-release: EloOptimized_0.3.2.zip, r-oldrel: EloOptimized_0.3.2.zip
macOS binaries: r-release (arm64): EloOptimized_0.3.2.tgz, r-oldrel (arm64): EloOptimized_0.3.2.tgz, r-release (x86_64): EloOptimized_0.3.2.tgz, r-oldrel (x86_64): EloOptimized_0.3.2.tgz
Old sources: EloOptimized archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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