Package: EvalTest
Title: Tools for Evaluating Diagnostic Test Performance
Version: 1.0.6
Authors@R: 
    person(given = "Nassim", family = "AYAD", email = "nassim.ayad.ph@gmail.com", 
    role = c("aut", "cre"),
    comment = c(ORCID = "https://orcid.org/0000-0002-1809-0935", 
                affiliation = "Laboratory of Modeling and Biostatistics,
                               Pasteur Institute of Algeria"))
Maintainer: Nassim AYAD <nassim.ayad.ph@gmail.com>
Description: Evaluates diagnostic test performance using data from
        laboratory or diagnostic research. It includes functions to
        compute common performance indicators along with their
        confidence intervals, and offers an interactive 'shiny'
        application for comprehensive analysis including ROC curve
        visualization and related metrics. It supports both binary and
        continuous test variables. It allows users to compute key
        performance indicators and visualize Receiver Operating
        Characteristic (ROC) curves, determine optimal cut-off
        thresholds, display confusion matrix, and export
        publication-ready plot. It aims to facilitate the application
        of statistical methods in diagnostic test evaluation by
        healthcare professionals. Methodological details and references
        for the computation of performance indicators are provided in
        the package vignette.
Depends: R (>= 4.2.1)
Imports: DT, ggplot2, ggpubr, openxlsx, pROC, readxl, shiny,
        shinydashboard, stats, binom
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://nassimayad87.r-universe.dev
Date/Publication: 2026-02-21 16:43:39 UTC
RemoteUrl: https://github.com/nassimayad87/evaltest
RemoteRef: HEAD
RemoteSha: b2c1ffeb67a22fd5f4eb32f86a8df0d9ac0c70a9
NeedsCompilation: no
Packaged: 2026-10-19 07:41:09 UTC; root
Author: Nassim AYAD [aut, cre] (ORCID: <https://orcid.org/0000-0002-1809-0935>,
    affiliation: Laboratory of Modeling and Biostatistics, Pasteur
    Institute of Algeria)