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 umich.edu> |
BugReports: | https://github.com/gaoming96/mcca/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/gaoming96/mcca |
NeedsCompilation: | no |
CRAN checks: | mcca results |
Reference manual: | mcca.pdf |
Package source: | mcca_0.7.0.tar.gz |
Windows binaries: | r-devel: mcca_0.7.0.zip, r-release: mcca_0.7.0.zip, r-oldrel: mcca_0.7.0.zip |
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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