Package: pseudorank 1.0.4

pseudorank: Pseudo-Ranks

Efficient calculation of pseudo-ranks and (pseudo)-rank based test statistics. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. See Happ et al. (2020, <doi:10.18637/jss.v095.c01>) for details.

Authors:Martin Happ [aut, cre], Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]

pseudorank_1.0.4.tar.gz
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pseudorank_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pseudorank/json (API)

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

Bug tracker:https://github.com/happma/pseudorank/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cppnonparametricnonparametric-statisticspseudo-rankpseudo-ranksrankrank-teststrend-testcpp

3.48 score 3 stars 20 scripts 260 downloads 5 exports 50 dependencies

Last updated from:0d339f3ec5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK161
linux-devel-x86_64OK171
source / vignettesOK207
linux-release-arm64OK174
linux-release-x86_64OK168
macos-release-arm64OK121
macos-release-x86_64OK198
macos-oldrel-arm64OK117
macos-oldrel-x86_64OK210
windows-develOK150
windows-releaseOK145
windows-oldrelOK140
wasm-releaseOK115

Exports:hettmansperger_norton_testkepner_robinson_testkruskal_wallis_testpseudorankpsrank

Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMASSMatrixmodelrnlmennetpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorlangS7scalesstringistringrtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
Pseudo-Rankspseudorank-package
Hettmansperger-Norton Trend Test for k-Sampleshettmansperger_norton_test hettmansperger_norton_test.formula hettmansperger_norton_test.numeric
Kruskal-Wallis Testkruskal_wallis_test kruskal_wallis_test.formula kruskal_wallis_test.numeric
Artifical data of 54 subjectsParadoxicalRanks
Calculation of Pseudo-Rankspseudorank pseudorank.formula pseudorank.numeric
Calculation of Pseudo-Ranks (Deprecated)psrank