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.


dtComb

Development of a Comprehensive R Library for Combining Diagnostic Tests

This package was developed to combine two diagnostic tests using a various of approaches including 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. Detailed documentation is at https://cran.r-project.org/web/packages/dtComb/vignettes/vignettedtComb.pdf.

URL for dtComb web tool: https://biotools.erciyes.edu.tr/dtComb/

Install the current release from CRAN:

install.packages('dtComb')

Reference manual

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install.packages("dtComb")

1.0.8 by Gokmen Zararsiz, 4 months ago


https://github.com/gokmenzararsiz/dtComb


Browse source code at https://github.com/cran/dtComb


Authors: Serra Ilayda Yerlitas Tastan [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]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports pROC, caret, epiR, gam, ggplot2, ggpubr, glmnet, OptimalCutpoints

Suggests knitr, rmarkdown, testthat


See at CRAN