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
pseudorank_1.0.4.zip(r-4.5)pseudorank_1.0.4.zip(r-4.4)pseudorank_1.0.4.zip(r-4.3)
pseudorank_1.0.4.tgz(r-4.5-x86_64)pseudorank_1.0.4.tgz(r-4.5-arm64)pseudorank_1.0.4.tgz(r-4.4-x86_64)pseudorank_1.0.4.tgz(r-4.4-arm64)pseudorank_1.0.4.tgz(r-4.3-x86_64)pseudorank_1.0.4.tgz(r-4.3-arm64)
pseudorank_1.0.4.tar.gz(r-4.5-noble)pseudorank_1.0.4.tar.gz(r-4.4-noble)
pseudorank_1.0.4.tgz(r-4.4-emscripten)pseudorank_1.0.4.tgz(r-4.3-emscripten)
pseudorank.pdf |pseudorank.html
pseudorank/json (API)
NEWS

# 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

3.71 score 3 stars 17 scripts 155 downloads 5 exports 45 dependencies

Last updated 19 days agofrom:0d339f3ec5. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-win-x86_64OKFeb 21 2025
R-4.5-mac-x86_64OKFeb 21 2025
R-4.5-mac-aarch64OKFeb 21 2025
R-4.5-linux-x86_64OKFeb 21 2025
R-4.4-win-x86_64OKFeb 21 2025
R-4.4-mac-x86_64OKFeb 21 2025
R-4.4-mac-aarch64OKFeb 21 2025
R-4.3-win-x86_64OKFeb 21 2025
R-4.3-mac-x86_64OKFeb 21 2025
R-4.3-mac-aarch64OKFeb 21 2025

Exports:hettmansperger_norton_testkepner_robinson_testkruskal_wallis_testpseudorankpsrank

Dependencies:backportsbootbroomclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmicrobenchmarkmodelrmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

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