Learn R Programming

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')

Copy Link

Version

Install

install.packages('dtComb')

Monthly Downloads

217

Version

1.0.7

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/gokmenzararsiz/dtComb

Maintainer

Gokmen Zararsiz

Last Published

March 30th, 2025

Functions in dtComb (1.0.7)

Linear Combination Methods for Diagnostic Test Scores

Combine two diagnostic tests with several non-linear combination methods.

Combine two diagnostic tests with Machine Learning Algorithms.

Predict combination scores and labels for new data sets using the training model

Print the summary of linComb, nonlinComb, mlComb and mathComb functions.

Diagnostic laparotomy dataset A data set containing the results of diagnostic laparotomy procedures for 225 patients.

Plot the combination scores using the training model

Combine two diagnostic tests with several mathematical operators and distance measures.

Calculate Cohen's kappa and accuracy.

Mathematical transformations for biomarkers

Generate ROC curves and related statistics for the given markers and Combination score.

Standardization according to the chosen method.

Standardization according to the training model parameters.

Machine learning model table for mlComb() Includes machine learning models used for the mlComb function

Helper function for TS method.

dtComb: A Comprehensive R Package for Combining Diagnostic Tests

Helper function for minmax method.

Helper function for PCL method.

availableMethods

Available classification/regression methods in dtComb

Helper function for minimax method.

Helper function for PT method.

Biomarker data from carriers of a rare genetic disorder A data set containing the carriers of a rare genetic disorder for 120 samples.

Simulated data with healthy and diseased individuals A simulation data containing 250 diseased and 250 healthy individuals.