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.
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 |
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.