Package: bossR 1.0.4
bossR: Biomarker Optimal Segmentation System
The Biomarker Optimal Segmentation System R package, 'bossR', is designed for precision medicine, helping to identify individual traits using biomarkers. It focuses on determining the most effective cutoff value for a continuous biomarker, which is crucial for categorizing patients into two groups with distinctly different clinical outcomes. The package simultaneously finds the optimal cutoff from given candidate values and tests its significance. Simulation studies demonstrate that 'bossR' offers statistical power and false positive control non-inferior to the permutation approach (considered the gold standard in this field), while being hundreds of times faster.
Authors:
bossR_1.0.4.tar.gz
bossR_1.0.4.zip(r-4.5)bossR_1.0.4.zip(r-4.4)bossR_1.0.4.zip(r-4.3)
bossR_1.0.4.tgz(r-4.4-any)bossR_1.0.4.tgz(r-4.3-any)
bossR_1.0.4.tar.gz(r-4.5-noble)bossR_1.0.4.tar.gz(r-4.4-noble)
bossR_1.0.4.tgz(r-4.4-emscripten)bossR_1.0.4.tgz(r-4.3-emscripten)
bossR.pdf |bossR.html✨
bossR/json (API)
| # Install 'bossR' in R: |
| install.packages('bossR', repos = c('https://ubcxzhang.r-universe.dev', 'https://cloud.r-project.org')) |
- myGene - Clinical dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:5c49c6649a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-win | OK | Oct 12 2024 |
| R-4.5-linux | OK | Oct 12 2024 |
| R-4.4-win | OK | Oct 12 2024 |
| R-4.4-mac | OK | Oct 12 2024 |
| R-4.3-win | OK | Oct 12 2024 |
| R-4.3-mac | OK | Oct 12 2024 |
Exports:getOC
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get regression coefficient | getbeta |
| Select Optimal cutoff for a biomarker | getOC |
| Computes the distribution function of the multivariate normal distribution | getpvalue |
| clinical dataset | myGene |
