mcca

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.