Statistical Combination of Diagnostic Tests

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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.