Package: fastJT
Type: Package
Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine
        Learning and Genome-Wide Association Studies
Version: 1.0.8
Date: 2025-05-01
Authors@R: c(person(given = "Jiaxing",
                    family = "Lin",
                    role = "aut"),
             person(given = "Alexander",
                    family = "Sibley",
                    role = c("aut", "cre"),
                    email = "dcibioinformatics@duke.edu"),
             person(given = "Ivo",
                    family = "Shterev",
                    role = "aut"),
             person(given = "Kouros",
                    family = "Owzar",
                    role = "aut"))
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. 
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp
Suggests: knitr
VignetteBuilder: knitr
BuildVignettes: yes
NeedsCompilation: yes
Packaged: 2025-05-01 19:19:18 UTC; abs33
Author: Jiaxing Lin [aut],
  Alexander Sibley [aut, cre],
  Ivo Shterev [aut],
  Kouros Owzar [aut]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>
Repository: CRAN
Date/Publication: 2025-05-01 20:00:01 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 17:52:14 UTC; unix
Archs: fastJT.so.dSYM
