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: 2026-10-03 07:14:17 UTC; root
Author: Jiaxing Lin [aut], Alexander Sibley [aut, cre], Ivo Shterev
        [aut], Kouros Owzar [aut]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>
Repository: https://dcibioinformatics.r-universe.dev
Date/Publication: 2025-05-01 20:33:42 UTC
RemoteUrl: https://github.com/cran/fastJT
RemoteRef: HEAD
RemoteSha: 74dc52592fdaab8700c66218fba74894698ad6d0