Package: TwoCutoff
Type: Package
Title: Deriving Clinically Interpretable Cutoffs for Disease Biomarkers
Version: 0.1.0
Authors@R: c(person(("Bhrigu Kumar"), "Rajbongshi",
                    email="kumarbhrigu536@gmail.com",
                    role=c("aut", "cre","ctb")),
             person(("Seyed Ehsan"), "Saffari", role=c("aut","ctb")),
             person(("Nastaran"), "Marzban", role=c("aut","ctb")))
Maintainer: Bhrigu Kumar Rajbongshi <kumarbhrigu536@gmail.com>
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.
Imports: dplyr, mixtools, stats, pROC, xgboost, ggplot2, caret,
        patchwork, gridExtra
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
RoxygenNote: 7.3.2
NeedsCompilation: no
Suggests: rmarkdown, DiagrammeR, knitr, devtools
VignetteBuilder: knitr
Author: Bhrigu Kumar Rajbongshi [aut, cre, ctb],
  Seyed Ehsan Saffari [aut, ctb],
  Nastaran Marzban [aut, ctb]
Packaged: 2026-06-20 14:38:03 UTC; bhrigu
Repository: CRAN
Date/Publication: 2026-06-24 10:00:13 UTC
Built: R 4.5.2; ; 2026-06-24 11:10:19 UTC; unix
