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: | 1.0.4 |
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: | 2024-10-11 |
DOI: | 10.32614/CRAN.package.dtComb |
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 |
Reference manual: | dtComb.pdf |
Vignettes: |
dtComb (source, R code) |
Package source: | dtComb_1.0.4.tar.gz |
Windows binaries: | r-devel: dtComb_1.0.2.zip, r-release: dtComb_1.0.4.zip, r-oldrel: dtComb_1.0.2.zip |
macOS binaries: | r-release (arm64): dtComb_1.0.4.tgz, r-oldrel (arm64): dtComb_1.0.4.tgz, r-release (x86_64): dtComb_1.0.4.tgz, r-oldrel (x86_64): dtComb_1.0.4.tgz |
Old sources: | dtComb archive |
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