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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 |
Reference manual: | comperank.pdf |
Vignettes: |
Methods Overview |
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 |
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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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