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]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the mcca package in your browser

Any scripts or data that you put into this service are public.

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