mcca: Multi-Category Classification Accuracy

It contains six common multi-category classification accuracy evaluation measures: 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>.

Version: 0.2.0
Imports: nnet, rpart, e1071, MASS, stats, pROC
Published: 2018-01-03
Author: Ming Gao, Jialiang Li
Maintainer: Ming Gao <gaoming96 at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: mcca results


Reference manual: mcca.pdf
Package source: mcca_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: mcca_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: mcca_0.1.0.tgz
Old sources: mcca archive


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