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: 2026-06-24 13:23:17 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-24 10:00:13 UTC
RemoteUrl: https://github.com/cran/TwoCutoff
RemoteRef: HEAD
RemoteSha: 46a709ed0e9eb6856ad337f93e74fb2dd68492d3