EvalTest: Tools for Evaluating Diagnostic Test Performance
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.
| Version: |
1.0.6 |
| Depends: |
R (≥ 4.2.1) |
| Imports: |
DT, ggplot2, ggpubr, openxlsx, pROC, readxl, shiny, shinydashboard, stats, binom |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-02-20 |
| DOI: |
10.32614/CRAN.package.EvalTest |
| Author: |
Nassim AYAD  [aut,
cre] (affiliation: Laboratory of Modeling and Biostatistics,
Pasteur Institute of Algeria) |
| Maintainer: |
Nassim AYAD <nassim.ayad.ph at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
EvalTest results |
Documentation:
Downloads:
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