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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_1.0.4.zip, r-release: dtComb_1.0.4.zip, r-oldrel: dtComb_1.0.4.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 |
Please use the canonical form https://CRAN.R-project.org/package=dtComb to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.