mcca
Multi-Category Classification Accuracy
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>. PDI with variance estimation using Dover et al. (2021) <doi:10.1002/sim.9187>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.8.2 |
rolling linux/jammy R-4.5 | mcca_0.8.2.tar.gz |
120.9 KiB |
0.8.2 |
rolling linux/noble R-4.5 | mcca_0.8.2.tar.gz |
120.7 KiB |
0.8.2 |
rolling source/ R- | mcca_0.8.2.tar.gz |
17.3 KiB |
0.8.2 |
latest linux/jammy R-4.5 | mcca_0.8.2.tar.gz |
120.9 KiB |
0.8.2 |
latest linux/noble R-4.5 | mcca_0.8.2.tar.gz |
120.7 KiB |
0.8.2 |
latest source/ R- | mcca_0.8.2.tar.gz |
17.3 KiB |
0.8.2 |
2026-04-26 source/ R- | mcca_0.8.2.tar.gz |
17.3 KiB |
0.8.2 |
2026-04-23 source/ R- | mcca_0.8.2.tar.gz |
17.3 KiB |
0.8.1 |
2026-04-09 windows/windows R-4.5 | mcca_0.8.1.zip |
117.3 KiB |
0.7.0 |
2025-04-20 source/ R- | mcca_0.7.0.tar.gz |
13.1 KiB |