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highTtest  

Simultaneous Critical Values for t-Tests in Very High Dimensions
View on CRAN: Click here


Download and install highTtest package within the R console
Install from CRAN:
install.packages("highTtest")

Install from Github:
library("remotes")
install_github("cran/highTtest")

Install by package version:
library("remotes")
install_version("highTtest", "1.3")



Attach the package and use:
library("highTtest")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
First Published: 2014-10-17
Latest Update: 2022-06-06
Description:
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.
How to cite:
Shannon T. Holloway (2014). highTtest: Simultaneous Critical Values for t-Tests in Very High Dimensions. R package version 1.3, https://cran.r-project.org/web/packages/highTtest. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0 (2014-10-17 19:54), 1.1 (2015-02-22 00:09), 1.2 (2022-01-12 23:42)
Other packages that cited highTtest R package
View highTtest citation profile
Other R packages that highTtest depends, imports, suggests or enhances
Complete documentation for highTtest
Functions, R codes and Examples using the highTtest R package
Some associated functions: highTtest-class . highTtest . plot-methods . vennD-methods . 
Some associated R codes: All_Classes.R . BenjaminiHochberg.R . CaoKosorok.R . StoreyTibshirani.R . highTtest.R . methods-plot.R . methods-retrieve.R . methods-venn.R . tStatistic.R .  Full highTtest package functions and examples
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