Man pages for gokmenzararsiz/dtComb
Statistical Combination of Diagnostic Tests
| allMethods | Machine learning model table for mlComb() Includes machine... |
| availableMethods | Available classification/regression methods in 'dtComb' |
| dtComb | dtComb: A Comprehensive R Package for Combining Diagnostic... |
| exampleData2 | Biomarker data from carriers of a rare genetic disorder A... |
| exampleData3 | Simulated data with healthy and diseased individuals A... |
| 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. |
| laparotomy | Diagnostic laparotomy dataset A data set containing the... |
| linComb | Linear Combination Methods for Diagnostic Test Scores |
| mathComb | Combine two diagnostic tests with several mathematical... |
| mlComb | Combine two diagnostic tests with Machine Learning... |
| nonlinComb | Combine two diagnostic tests with several non-linear... |
| plotComb | Plot the combination scores using the training model |
| predict.dtComb | Predict combination scores and labels for new data sets using... |
| print_train | Print the summary of linComb, nonlinComb, mlComb and mathComb... |
| rocsum | Generate ROC curves and related statistics for the given... |
| std.test | Standardization according to the training model parameters. |
| std.train | Standardization according to the chosen method. |
| transform_math | Mathematical transformations for biomarkers |
