R: Statistical Combination of Diagnostic Tests

# Statistical Combination of Diagnostic Tests

## Documentation for package ‘dtComb’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

dtComb-package | dtComb: A Comprehensive R Library for Combining Diagnostic Tests
allMethods | Includes machine learning models used for the mlComb function
availableMethods | Available classification/regression methods in 'dtComb'
dtComb | dtComb: A Comprehensive R Library for Combining Diagnostic Tests
exampleData1 | Examples data for the dtComb package
exampleData2 | A data set containing the carriers of a rare genetic disorder for 120 samples.
exampleData3 | A simulation data containing 250 diseased and 250 healthy individuals.
helper_minimax | Helper function for minimax method.
helper_minmax | Helper function for minmax method.
helper_PCL | Helper function for PCL method.
helper_PT | Helper function for PT method.
helper_TS | Helper function for TS method.
kappa.accuracy | Calculate Cohen's kappa and accuracy.
linComb | Combine two diagnostic tests with several linear combination methods.
mathComb | Combine two diagnostic tests with several mathematical operators and distance measures.
mlComb | Combine two diagnostic tests with Machine Learning Algorithms.
nonlinComb | Combine two diagnostic tests with several non-linear combination methods.
plotComb | Plot the combination scores using the training model
predict.dtComb | Predict combination scores and labels for new data sets using the training model
print_train | Print the summary of linComb, nonlinComb, mlComb and mathComb functions.
rocsum | Generate ROC curves and related statistics for the given markers and Combination score.
std.test | Standardization according to the training model parameters.
std.train | Standardization according to the chosen method.
transform_math | Mathematical transformations for biomarkers.