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TwoCutoff  

Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
View on CRAN: Click here


Download and install TwoCutoff package within the R console
Install from CRAN:
install.packages("TwoCutoff")

Install from Github:
library("remotes")
install_github("cran/TwoCutoff")

Install by package version:
library("remotes")
install_version("TwoCutoff", "0.1.0")



Attach the package and use:
library("TwoCutoff")
Maintained by
Bhrigu Kumar Rajbongshi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
Description:
Provides a reproducible pipeline for deriving two clinically meaningful cutoffs for disease biomarkers using a unified two-stage framework. The package integrates finite mixture modeling with risk prediction using biomarker plus clinical features, followed by decision curve analysis to evaluate clinical utility. Outputs include biomarker density plots, risk calibration curves, decision curves, and summary tables of diagnostic performance. Designed for researchers in bio-statistics, neurology, and data science, this package emphasizes reproducibility, transparency, and clear clinical relevance.
How to cite:
Bhrigu Kumar Rajbongshi (2026). TwoCutoff: Deriving Clinically Interpretable Cutoffs for Disease Biomarkers. R package version 0.1.0, https://cran.r-project.org/web/packages/TwoCutoff. Accessed 24 Oct. 2026.
Previous versions and publish date:
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