mcca

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.

Last 30 days

This package has been downloaded 237 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,806 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 21, 2025 with 40 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.