Package: RobustRankAggreg 1.2.1

RobustRankAggreg: Methods for Robust Rank Aggregation

Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation Kolde et al (2012) <doi:10.1093/bioinformatics/btr709> and some other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.

Authors:Raivo Kolde [aut, cre], Sven Laur [ctb]

RobustRankAggreg_1.2.1.tar.gz
RobustRankAggreg_1.2.1.zip(r-4.7)RobustRankAggreg_1.2.1.zip(r-4.6)RobustRankAggreg_1.2.1.zip(r-4.5)
RobustRankAggreg_1.2.1.tgz(r-4.6-any)RobustRankAggreg_1.2.1.tgz(r-4.5-any)
RobustRankAggreg_1.2.1.tar.gz(r-4.7-any)RobustRankAggreg_1.2.1.tar.gz(r-4.6-any)
RobustRankAggreg_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
RobustRankAggreg/json (API)

# Install 'RobustRankAggreg' in R:
install.packages('RobustRankAggreg', repos = c('https://raivokolde.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cellCycleKO - A dataset based on Reimand _et al_ and Hu _et al_.

On CRAN:

Conda:

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

4.32 score 2 stars 2 packages 166 scripts 1.1k downloads 57 mentions 4 exports 0 dependencies

Last updated from:8798c500ac. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK220
linux-release-x86_64OK101
macos-release-arm64OK82
macos-oldrel-arm64OK74
windows-develOK62
windows-releaseOK104
windows-oldrelOK53
wasm-releaseOK83

Exports:aggregateRanksbetaScoresrankMatrixrhoScores

Dependencies: