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.
URL: https://github.com/kumarbhrigu/TwoCutoff,
        https://kumarbhrigu.github.io/TwoCutoff/
BugReports: https://github.com/kumarbhrigu/TwoCutoff/issues
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]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://kumarbhrigu.r-universe.dev
Date/Publication: 2026-06-11 18:19:35 UTC
RemoteUrl: https://github.com/kumarbhrigu/twocutoff
RemoteRef: HEAD
RemoteSha: d67c2f34e7e86580578adb36e2489b72644bf102
Packaged: 2026-10-26 07:06:27 UTC; root