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bossR
View on CRAN: Click
here
Download and install bossR package within the R console
Install from CRAN:
install.packages("bossR")
Install from Github:
library("remotes")
install_github("cran/bossR") Install by package version:
library("remotes")
install_version("bossR", "1.0.4") Attach the package and use:
library("bossR")
Maintained by
Xuekui Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-15
Latest Update: 2024-01-15
Description:
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.
How to cite:
Xuekui Zhang (2024). bossR: Biomarker Optimal Segmentation System. R package version 1.0.4, https://cran.r-project.org/web/packages/bossR. Accessed 09 Oct. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for bossR
Functions, R codes and Examples using
the bossR R package
Some associated functions: getOC . getbeta . getpvalue . myGene .
Some associated R codes: Rboss.R . Full bossR package functions and examples
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