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 <doi:10.18637/jss.v095.c01>.
Version: | 1.0.1 |
Depends: | R (≥ 3.4.0) |
Imports: | Rcpp (≥ 0.12.16), doBy |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2020-10-02 |
Author: | Martin Happ [aut, cre], Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut] |
Maintainer: | Martin Happ <martin.happ at aon.at> |
BugReports: | https://github.com/happma/pseudorank/issues/ |
License: | GPL-3 |
URL: | https://github.com/happma/pseudorank/ |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Citation: | pseudorank citation info |
Materials: | README NEWS |
CRAN checks: | pseudorank results |
Reference manual: | pseudorank.pdf |
Package source: | pseudorank_1.0.1.tar.gz |
Windows binaries: | r-devel: pseudorank_1.0.1.zip, r-release: pseudorank_1.0.1.zip, r-oldrel: pseudorank_1.0.1.zip |
macOS binaries: | r-release (arm64): pseudorank_1.0.1.tgz, r-oldrel (arm64): pseudorank_1.0.1.tgz, r-release (x86_64): pseudorank_1.0.1.tgz, r-oldrel (x86_64): pseudorank_1.0.1.tgz |
Old sources: | pseudorank archive |
Reverse imports: | HRM |
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