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:
fastJT_1.0.6.tar.gz
fastJT_1.0.6.zip(r-4.5)fastJT_1.0.6.zip(r-4.4)fastJT_1.0.6.zip(r-4.3)
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)
NEWS
| # Install 'fastJT' in R: |
| install.packages('fastJT', repos = c('https://dcibioinformatics.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:87afccc5ca. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 14 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 14 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 14 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 14 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 14 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 14 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 14 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 14 2024 |
Exports:fastJTfastJT.selectpvaluessummary.fastJT
Dependencies:Rcpp
