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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: | 1.0.2 |
| 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 |
| Reference manual: | dtComb.pdf |
| Vignettes: |
dtComb |
| Package source: | dtComb_1.0.2.tar.gz |
| Windows binaries: | r-devel: dtComb_1.0.2.zip, r-release: dtComb_1.0.2.zip, r-oldrel: dtComb_1.0.2.zip |
| macOS binaries: | r-release (arm64): dtComb_1.0.2.tgz, r-oldrel (arm64): dtComb_1.0.2.tgz, r-release (x86_64): dtComb_1.0.2.tgz, r-oldrel (x86_64): dtComb_1.0.2.tgz |
| Old sources: | dtComb archive |
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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.
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