allMethods              Machine learning model table for mlComb()
                        Includes machine learning models used for the
                        mlComb function
availableMethods        Available classification/regression methods in
                        'dtComb'
dtComb                  dtComb: A Comprehensive R Package for Combining
                        Diagnostic Tests
exampleData2            Biomarker data from carriers of a rare genetic
                        disorder A data set containing the carriers of
                        a rare genetic disorder for 120 samples.
exampleData3            Simulated data with healthy and diseased
                        individuals A simulation data containing 250
                        diseased and 250 healthy individuals.
helper_PCL              Helper function for PCL method.
helper_PT               Helper function for PT method.
helper_TS               Helper function for TS method.
helper_minimax          Helper function for minimax method.
helper_minmax           Helper function for minmax method.
kappa.accuracy          Calculate Cohen's kappa and accuracy.
laparotomy              Diagnostic laparotomy dataset A data set
                        containing the results of diagnostic laparotomy
                        procedures for 225 patients.
linComb                 Linear Combination Methods for Diagnostic Test
                        Scores
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
