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highd2means: High-Dimensional Tests for Two Population Mean Vectors

Tests for two high-dimensional population mean vectors. The user has the option to compute the asymptotic, the permutation or the bootstrap based p-value of the test. Some references are: Chen S.X. and Qin Y.L. (2010). <doi:10.1214/09-AOS716>, Cai T.T., Liu W., and Xia Y. (2014) <doi:10.1111/rssb.12034> and Yu X., Li D., Xue L. and Li, R. (2023) <doi:10.1080/01621459.2022.2061354>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: doParallel, foreach, parallel, stats, Rfast
Suggests: highmean, highDmean, PEtests
Published: 2024-08-21
DOI: 10.32614/CRAN.package.highd2means
Author: Michail Tsagris [aut, cre], Manos Papadakis [aut]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: highd2means results

Documentation:

Reference manual: highd2means.pdf

Downloads:

Package source: highd2means_1.0.tar.gz
Windows binaries: r-devel: highd2means_1.0.zip, r-release: highd2means_1.0.zip, r-oldrel: highd2means_1.0.zip
macOS binaries: r-release (arm64): highd2means_1.0.tgz, r-oldrel (arm64): highd2means_1.0.tgz, r-release (x86_64): highd2means_1.0.tgz, r-oldrel (x86_64): highd2means_1.0.tgz

Linking:

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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.