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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 [aut, cre, cph] |
Maintainer: | Mark J. Meyer <mjm556 at georgetown.edu> |
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: runDRT_0.1.0.zip, r-release: runDRT_0.1.0.zip, r-oldrel: runDRT_0.1.0.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.