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fastJT
View on CRAN: Click
here
Download and install fastJT package within the R console
Install from CRAN:
install.packages("fastJT")
Install from Github:
library("remotes")
install_github("cran/fastJT") Install by package version:
library("remotes")
install_version("fastJT", "1.0.8") Attach the package and use:
library("fastJT")
Maintained by
Alexander Sibley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-27
Latest Update: 2025-05-01
Description:
This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
How to cite:
Alexander Sibley (2017). fastJT: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies. R package version 1.0.8, https://cran.r-project.org/web/packages/fastJT. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Other R packages that fastJT depends,
imports, suggests or enhances
Complete documentation for fastJT
Functions, R codes and Examples using
the fastJT R package
Some associated functions: fastJT-package . fastJT . fastJT.select . pvalues . summary.fastJT .
Some associated R codes: fastJT.R . fastJT.select.R . pvalues.R . summary.fastJT.R . Full fastJT package functions and examples
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