Package: SuperRanker 1.2.1

SuperRanker: Sequential Rank Agreement

Tools for analysing the agreement of two or more rankings of the same items. Examples are importance rankings of predictor variables and risk predictions of subjects. Benchmarks for agreement are computed based on random permutation and bootstrap. See Ekstrøm CT, Gerds TA, Jensen, AK (2018). "Sequential rank agreement methods for comparison of ranked lists." _Biostatistics_, *20*(4), 582-598 <doi:10.1093/biostatistics/kxy017> for more information.

Authors:Claus Thorn Ekstrøm [aut, cre], Thomas Alexander Gerds [aut]

SuperRanker_1.2.1.tar.gz
SuperRanker_1.2.1.zip(r-4.7)SuperRanker_1.2.1.zip(r-4.6)SuperRanker_1.2.1.zip(r-4.5)
SuperRanker_1.2.1.tgz(r-4.6-x86_64)SuperRanker_1.2.1.tgz(r-4.6-arm64)SuperRanker_1.2.1.tgz(r-4.5-x86_64)SuperRanker_1.2.1.tgz(r-4.5-arm64)
SuperRanker_1.2.1.tar.gz(r-4.7-arm64)SuperRanker_1.2.1.tar.gz(r-4.7-x86_64)SuperRanker_1.2.1.tar.gz(r-4.6-arm64)SuperRanker_1.2.1.tar.gz(r-4.6-x86_64)
SuperRanker_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
SuperRanker/json (API)

# Install 'SuperRanker' in R:
install.packages('SuperRanker', repos = c('https://ekstroem.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.26 score 18 scripts 154 downloads 1 mentions 6 exports 37 dependencies

Last updated from:0f785d133e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK137
source / vignettesOK160
linux-release-arm64OK132
linux-release-x86_64OK140
macos-release-arm64OK109
macos-release-x86_64OK217
macos-oldrel-arm64OK121
macos-oldrel-x86_64OK200
windows-develOK114
windows-releaseOK127
windows-oldrelOK106
wasm-releaseOK127

Exports:average_overlapoverlaprandom_list_srasmooth_srasratest_sra

Dependencies:clicodetoolscpp11data.tablediagramdigestfarverfuturefuture.applyggplot2globalsgluegtableisobandKernSmoothlabelinglatticelavalifecyclelistenvMatrixnumDerivparallellyprodlimprogressrR6RColorBrewerRcpprlangS7scalesshapeSQUAREMsurvivalvctrsviridisLitewithr