Package: fastJT 1.0.6

Alexander Sibley

fastJT: Efficient Jonckheere-Terpstra Test Statistics

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.

Authors:Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar

fastJT_1.0.6.tar.gz
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fastJT_1.0.6.tgz(r-4.4-x86_64)fastJT_1.0.6.tgz(r-4.4-arm64)fastJT_1.0.6.tgz(r-4.3-x86_64)fastJT_1.0.6.tgz(r-4.3-arm64)
fastJT_1.0.6.tar.gz(r-4.5-noble)fastJT_1.0.6.tar.gz(r-4.4-noble)
fastJT_1.0.6.tgz(r-4.4-emscripten)fastJT_1.0.6.tgz(r-4.3-emscripten)
fastJT.pdf |fastJT.html✨
fastJT/json (API)
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.23 score 1 dependencies 1 mentions 8 scripts 269 downloads

Last updated 4 years agofrom:87afccc5ca. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:fastJTfastJT.selectpvaluessummary.fastJT

Dependencies:Rcpp