Package: highTtest 1.3

highTtest: Simultaneous Critical Values for t-Tests in Very High Dimensions

Implements the method developed by Cao and Kosorok (2011) for the significance analysis of thousands of features in high-dimensional biological studies. It is an asymptotically valid data-driven procedure to find critical values for rejection regions controlling the k-familywise error rate, false discovery rate, and the tail probability of false discovery proportion.

Authors:Hongyuan Cao [aut], Michael Kosorok [aut], Shannon T. Holloway [aut, cre]

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highTtest.pdf |highTtest.html
highTtest/json (API)

# Install 'highTtest' in R:
install.packages('highTtest', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

1.00 score 1 stars 2 scripts 222 downloads 8 exports 0 dependencies

Last updated 2 years agofrom:45eb75a74b. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winNOTEOct 17 2024
R-4.5-linuxNOTEOct 17 2024
R-4.4-winNOTEOct 17 2024
R-4.4-macNOTEOct 17 2024
R-4.3-winNOTEOct 17 2024
R-4.3-macNOTEOct 17 2024

Exports:BHCKhighTtestpi_altplotpvalueSTvennD

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Simultaneous critical values for t-tests in very high dimensionsBH BH,highTtest CK CK,highTtest highTtest pi_alt pi_alt,highTtest plot,highTtest pvalue pvalue,highTtest ST ST,highTtest vennD,highTtest
Class '"highTtest"'BH,highTtest-method CK,highTtest-method highTtest-class pi_alt,highTtest-method pvalue,highTtest-method ST,highTtest-method
~~ Methods for Function 'plot' ~~plot,ANY-method plot,highTtest-method plot-methods
~~ Methods for Function 'vennD' ~~vennD vennD,highTtest,numeric-method vennD-methods