dtComb: Statistical Combination of Diagnostic Tests

A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: pROC (≥ 1.18.0), caret, epiR, gam, ggplot2, ggpubr, glmnet, OptimalCutpoints
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-01-30
Author: Serra Ilayda Yerlitas [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]
Maintainer: Gokmen Zararsiz <gokmen.zararsiz at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/gokmenzararsiz/dtComb
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: dtComb results

Documentation:

Reference manual: dtComb.pdf
Vignettes: dtComb

Downloads:

Package source: dtComb_1.0.2.tar.gz
Windows binaries: r-prerel: dtComb_1.0.2.zip, r-release: dtComb_1.0.2.zip, r-oldrel: dtComb_1.0.2.zip
macOS binaries: r-prerel (arm64): dtComb_1.0.2.tgz, r-release (arm64): dtComb_1.0.2.tgz, r-oldrel (arm64): dtComb_1.0.2.tgz, r-prerel (x86_64): dtComb_1.0.2.tgz, r-release (x86_64): dtComb_1.0.2.tgz
Old sources: dtComb archive

Linking:

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