TwoCutoff
0.1.0Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-257 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 18%
Downloads
Dependencies
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-06-24 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-24
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 8.9 KB / 1 file
- Download size
- 726 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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