Package: raincin 1.0.3

Jiangtao Gou

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.

Authors:Jiangtao Gou [aut, cre], Fengqing Zhang [aut], Shuyi Wu [aut]

raincin_1.0.3.tar.gz
raincin_1.0.3.tar.gz(r-4.5-noble)raincin_1.0.3.tar.gz(r-4.4-noble)
raincin_1.0.3.tgz(r-4.4-emscripten)raincin_1.0.3.tgz(r-4.3-emscripten)
raincin.pdf |raincin.html
raincin/json (API)

# Install 'raincin' in R:
install.packages('raincin', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 0.00 score 19 dependencies 104 downloads

Last updated 4 years agofrom:59ad7c5121. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-linuxOKAug 25 2024

Exports:colleyconvertJudgePresenterMatrixelokeenerkeenerskmarkovmasseymatchMeanSDmixedeffnaiveoffdefntoffdefscreadJudgePresenterMatrix

Dependencies:bootcodaexpmlatticelme4MASSMatrixMatrixModelsmcmcMCMCpackminqanlmenloptrpopdemoquantregRcppRcppEigenSparseMsurvival