Package: fastJT
Type: Package
Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine
        Learning and Genome-Wide Association Studies
Version: 1.0.5
Date: 2019-07-18
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>
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: 2019-07-18 16:16:00 UTC; jl354
Repository: CRAN
Date/Publication: 2019-07-18 16:40:08 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 07:20:27 UTC; windows
Archs: i386, x64
