Introduction | Rank aggregation as an optimization problem | Cross-Entropy Monte Carlo algorithm | Genetic algorithm | Examples of rank aggregation | Discussion
Package: RankAggreg 0.6.6
RankAggreg: Weighted Rank Aggregation
Performs aggregation of ordered lists based on the ranks using several different algorithms: Cross-Entropy Monte Carlo algorithm, Genetic algorithm, and a brute force algorithm (for small problems).
Authors:
RankAggreg_0.6.6.tar.gz
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RankAggreg_0.6.6.tgz(r-4.6-x86_64)RankAggreg_0.6.6.tgz(r-4.6-arm64)RankAggreg_0.6.6.tgz(r-4.5-x86_64)RankAggreg_0.6.6.tgz(r-4.5-arm64)
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RankAggreg_0.6.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RankAggreg/json (API)
| # Install 'RankAggreg' in R: |
| install.packages('RankAggreg', repos = c('https://vpihur.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- geneLists - Ordered Gene Lists from 5 microarray studies
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:70e56b13ba. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 183 | ||
| linux-release-arm64 | OK | 115 | ||
| linux-release-x86_64 | OK | 153 | ||
| macos-release-arm64 | OK | 195 | ||
| macos-release-x86_64 | OK | 290 | ||
| macos-oldrel-arm64 | OK | 160 | ||
| macos-oldrel-x86_64 | OK | 212 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 96 | ||
| wasm-release | OK | 130 |
Exports:BruteAggregplot.raggrRankAggreg
Dependencies:gtools
