The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

raincin: Ranking with Incomplete Information

Various statistical and mathematical ranking and rating methods with incomplete information are included. This package is initially designed for the scoring system in a high school project showcase to rank student research projects, where each judge can only evaluate a set of projects in a limited time period. See Langville, A. N. and Meyer, C. D. (2012), Who is Number 1: The Science of Rating and Ranking, Princeton University Press <doi:10.1515/9781400841677>, and Gou, J. and Wu, S. (2020), A Judging System for Project Showcase: Rating and Ranking with Incomplete Information, Technical Report.

Version: 1.0.3
Imports: lme4, popdemo, stats
Published: 2020-06-04
DOI: 10.32614/CRAN.package.raincin
Author: Jiangtao Gou [aut, cre], Fengqing Zhang [aut], Shuyi Wu [aut]
Maintainer: Jiangtao Gou <gouRpackage at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: raincin results

Documentation:

Reference manual: raincin.pdf

Downloads:

Package source: raincin_1.0.3.tar.gz
Windows binaries: r-devel: raincin_1.0.3.zip, r-release: raincin_1.0.3.zip, r-oldrel: raincin_1.0.3.zip
macOS binaries: r-release (arm64): raincin_1.0.3.tgz, r-oldrel (arm64): raincin_1.0.3.tgz, r-release (x86_64): raincin_1.0.3.tgz, r-oldrel (x86_64): raincin_1.0.3.tgz

Linking:

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