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mcca  

Multi-Category Classification Accuracy
View on CRAN: Click here


Download and install mcca package within the R console
Install from CRAN:
install.packages("mcca")

Install from Github:
library("remotes")
install_github("cran/mcca")

Install by package version:
library("remotes")
install_version("mcca", "0.7.0")



Attach the package and use:
library("mcca")
Maintained by
Ming Gao
[Scholar Profile | Author Map]
First Published: 2017-11-20
Latest Update: 2019-12-20
Description:
It contains six common multi-category classification accuracy evaluation measures. All of these measures could be found in Li and Ming (2019) . Specifically, Hypervolume Under Manifold (HUM), described in Li and Fine (2008) . Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) . Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) . Li et al. (2018) . We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) .
How to cite:
Ming Gao (2017). mcca: Multi-Category Classification Accuracy. R package version 0.7.0, https://cran.r-project.org/web/packages/mcca. Accessed 08 May. 2025.
Previous versions and publish date:
0.1.0 (2017-11-20 19:19), 0.2.0 (2018-01-03 14:18), 0.3.0 (2018-04-09 11:03), 0.4.0 (2018-09-14 06:50), 0.5.0 (2019-02-05 09:40), 0.6.0 (2019-09-09 19:50)
Other packages that cited mcca R package
View mcca citation profile
Other R packages that mcca depends, imports, suggests or enhances
Complete documentation for mcca
Functions, R codes and Examples using the mcca R package
Some associated functions: ccp . estp . ests . hum . idi . mcca-package . nri . pdi . plot.mcca.hum . pm . print.mcca.ccp . print.mcca.hum . print.mcca.pdi . print.mcca.rsq . rsq . 
Some associated R codes: ccp.R . estp.R . ests.R . hum.R . idi.R . nri.R . pdi.R . pm.R . rsq.R . utils.R .  Full mcca package functions and examples
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