runDRT: Run Doubly Ranked Tests

Doubly ranked tests are nonparametric tests for grouped functional and multivariate data. The testing procedure first ranks a matrix (or three dimensional array) of data by column (if a matrix) or by cell (across the third dimension if an array). By default, it calculates a sufficient statistic for the subject's order within the sample using the observed ranks, taken over the columns or cells. Depending on the number of groups, G, the summarized ranks are then analyzed using either a Wilcoxon Rank Sum test (G = 2) or a Kruskal-Wallis (G greater than 2).

Version: 0.1.0
Suggests: fda (≥ 6.1.4), FDboost (≥ 1.1.2), refund (≥ 0.1.32), testthat (≥ 3.0.0)
Published: 2024-06-01
DOI: 10.32614/CRAN.package.runDRT
Author: Mark J. Meyer ORCID iD [aut, cre, cph]
Maintainer: Mark J. Meyer <mjm556 at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: runDRT results


Reference manual: runDRT.pdf


Package source: runDRT_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): runDRT_0.1.0.tgz, r-oldrel (arm64): runDRT_0.1.0.tgz, r-release (x86_64): runDRT_0.1.0.tgz, r-oldrel (x86_64): runDRT_0.1.0.tgz


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