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>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.

Version: 0.7.0
Imports: nnet, rpart, e1071, MASS, stats, pROC, caret, rgl
Published: 2019-12-20
DOI: 10.32614/CRAN.package.mcca
Author: Ming Gao, Jialiang Li
Maintainer: Ming Gao <gaoming at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: mcca results


Reference manual: mcca.pdf


Package source: mcca_0.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mcca_0.7.0.tgz, r-oldrel (arm64): mcca_0.7.0.tgz, r-release (x86_64): mcca_0.7.0.tgz, r-oldrel (x86_64): mcca_0.7.0.tgz
Old sources: mcca archive


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