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comperank: Ranking Methods for Competition Results

Compute ranking and rating based on competition results. Methods of different nature are implemented: with fixed Head-to-Head structure, with variable Head-to-Head structure and with iterative nature. All algorithms are taken from the book 'Who’s #1?: The science of rating and ranking' by Amy N. Langville and Carl D. Meyer (2012, ISBN:978-0-691-15422-0).

Version: 0.1.1
Depends: comperes (≥ 0.1.0), R (≥ 3.4.0)
Imports: dplyr (≥ 0.6.0), Rcpp, rlang (≥ 0.2.0), tibble
LinkingTo: Rcpp
Suggests: covr, knitr, rmarkdown, testthat
Published: 2020-03-03
DOI: 10.32614/CRAN.package.comperank
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski at gmail.com>
BugReports: https://github.com/echasnovski/comperank/issues
License: MIT + file LICENSE
URL: https://github.com/echasnovski/comperank
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: comperank results

Documentation:

Reference manual: comperank.pdf
Vignettes: Methods Overview

Downloads:

Package source: comperank_0.1.1.tar.gz
Windows binaries: r-devel: comperank_0.1.1.zip, r-release: comperank_0.1.1.zip, r-oldrel: comperank_0.1.1.zip
macOS binaries: r-release (arm64): comperank_0.1.1.tgz, r-oldrel (arm64): comperank_0.1.1.tgz, r-release (x86_64): comperank_0.1.1.tgz, r-oldrel (x86_64): comperank_0.1.1.tgz
Old sources: comperank archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=comperank 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.