Package: highd2means 1.0

Michail Tsagris

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>.

Authors:Michail Tsagris [aut, cre], Manos Papadakis [aut]

highd2means_1.0.tar.gz
highd2means_1.0.tar.gz(r-4.7-any)highd2means_1.0.tar.gz(r-4.6-any)
highd2means_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
highd2means/json (API)

# Install 'highd2means' in R:
install.packages('highd2means', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 179 downloads 2 exports 9 dependencies

Last updated from:be87bbe22c. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK158
linux-release-x86_64OK113
wasm-releaseOK97

Exports:means.testpe.test

Dependencies:codetoolsdoParallelforeachiteratorsRcppRcppArmadilloRcppParallelRfastzigg