The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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

Documentation:

Reference manual: mcca.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mcca to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.