fastJT (1.0.4)

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Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies.

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.

Maintainer: Jiaxing Lin
Author(s): Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar

License: GPL (>= 2)

Uses: Rcpp, knitr

Released 7 days ago.

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