Package: PEtests 0.1.0
Xiufan Yu
PEtests: Power-Enhanced (PE) Tests for High-Dimensional Data
Two-sample power-enhanced mean tests, covariance tests, and simultaneous tests on mean vectors and covariance matrices for high-dimensional data. Methods of these PE tests are presented in Yu, Li, and Xue (2022) <doi:10.1080/01621459.2022.2126781>; Yu, Li, Xue, and Li (2022) <doi:10.1080/01621459.2022.2061354>.
Authors:
PEtests_0.1.0.tar.gz
PEtests_0.1.0.tar.gz(r-4.5-noble)PEtests_0.1.0.tar.gz(r-4.4-noble)
PEtests_0.1.0.tgz(r-4.4-emscripten)PEtests_0.1.0.tgz(r-4.3-emscripten)
PEtests.pdf |PEtests.html✨
PEtests/json (API)
# Install 'PEtests' in R: |
install.packages('PEtests', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:9507094680. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux | OK | Dec 03 2024 |
Exports:covtestcovtest.clxcovtest.lccovtest.pe.cauchycovtest.pe.compcovtest.pe.fishermeantestmeantest.clxmeantest.cqmeantest.pe.cauchymeantest.pe.compmeantest.pe.fishersimultestsimultest.cauchysimultest.chisqsimultest.fishersimultest.pe.cauchysimultest.pe.chisqsimultest.pe.fisher
Dependencies: