Package: mcca 0.5.0
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>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.
Authors:
mcca_0.5.0.tar.gz
mcca_0.5.0.zip(r-4.5)mcca_0.5.0.zip(r-4.4)mcca_0.5.0.zip(r-4.3)
mcca_0.5.0.tgz(r-4.4-any)mcca_0.5.0.tgz(r-4.3-any)
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mcca.pdf |mcca.html✨
mcca/json (API)
# Install 'mcca' in R: |
install.packages('mcca', repos = c('https://gaoming96.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gaoming96/mcca/issues
Last updated 6 years agofrom:43f75637c3. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | ERROR | Nov 20 2024 |
R-4.5-linux | ERROR | Nov 20 2024 |
R-4.4-win | ERROR | Nov 20 2024 |
R-4.4-mac | ERROR | Nov 20 2024 |
R-4.3-win | ERROR | Nov 20 2024 |
R-4.3-mac | ERROR | Nov 20 2024 |
Exports:ccpestpestshumidinripdipmrsq
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr