Multi-Category Classification Accuracy
Calculate CCP Value
Inference for Accuracy Improvement Measures based on Bootstrap
Inference for Accuracy Measures based on Bootstrap
Calculate HUM Value
Calculate IDI Value
Diagnostic accuracy methods for classifiers
Calculate NRI Value
Calculate PDI Value
Plot 3D ROC surface
Calculate Probability Matrix
Print Method for mcca ccp class
Print Method for mcca hum class
Print Method for mcca pdi class
Print Method for mcca rsq class
Calculate RSQ Value
It contains six common multi-category classification accuracy evaluation measures. All of these measures could be found in Li and Ming (2019) <doi:10.1002/sim.8103>. Specifically, Hypervolume Under Manifold (HUM), described in Li and Fine (2008) <doi:10.1093/biostatistics/kxm050>. Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) <doi:10.1093/biostatistics/kxs047>. Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) <doi:10.1007/s10654-012-9733-3>. Li et al. (2018) <doi:10.1177/0962280217692830>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.