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>.

Package details

AuthorMing Gao, Jialiang Li
MaintainerMing Gao <[email protected]>
LicenseGPL
Version0.4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mcca")

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mcca documentation built on Sept. 21, 2018, 6:25 p.m.