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:Ming Gao, Jialiang Li

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)
mcca_0.5.0.tar.gz(r-4.5-noble)mcca_0.5.0.tar.gz(r-4.4-noble)
mcca_0.5.0.tgz(r-4.4-emscripten)mcca_0.5.0.tgz(r-4.3-emscripten)
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'))

Peer review:

Bug tracker:https://github.com/gaoming96/mcca/issues

On CRAN:

3.48 score 5 stars 12 scripts 227 downloads 1 mentions 9 exports 75 dependencies

Last updated 6 years agofrom:43f75637c3. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winERRORNov 20 2024
R-4.5-linuxERRORNov 20 2024
R-4.4-winERRORNov 20 2024
R-4.4-macERRORNov 20 2024
R-4.3-winERRORNov 20 2024
R-4.3-macERRORNov 20 2024

Exports:ccpestpestshumidinripdipmrsq

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr