Man pages for GegznaV/multiROC
Tools for ROC Analyis
| access_elements | [!] Access elements of roc_result_list object |
| add_class_label | Manage S3 class labels |
| calculate_performance | Performance measures for two-class classification |
| cvo_create_folds | Create a cvo (cross-valitation object) |
| cvo_get_info | Access information in a cvo object |
| cvo_test_bs | [+] Test if data in folds is stratified and blocked |
| fluorescence | Dataset of simulated fluorescence spectra |
| get_var_values | Get vector of variable values |
| manyROC | ManyROC - tools for ROC analysis |
| measure_kappa | Cohen's kappa |
| measure_wkappa | Weighted Cohen's kappa |
| parallelSetSeed | Set seeds for reproducible parallel computing with... |
| roc_analysis | Carry out the ROC analysis |
| roc_extract_info | [!!!] Extract the main information necessary for prediction |
| roc_manyroc | Carry out the manyROC analysis |
| roc_manyroc_cv | Carry out the manyROC analysis with cross-validation |
| roc_merge_manyroc_cv_results | Merge 2 lists with manyROC CV results |
| roc_performance_measures | [!!!] Performance measures |
| roc_predict | Predict outcome for new data |
| roc_predict_performance_by_gr | Calculate perfornamce for each pair of groups |
| sp_manyroc_with_cv | Do manyROC analysis with cross-validation for hyperSpec... |
| sp_manyroc_with_cv_by_variable | Do manyROC analysis with cross-validation for hyperSpec... |
