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-4.7)mcca_0.5.0.zip(r-4.6)mcca_0.5.0.zip(r-4.5)
mcca_0.5.0.tgz(r-4.6-any)mcca_0.5.0.tgz(r-4.5-any)
mcca_0.5.0.tar.gz(r-4.7-any)mcca_0.5.0.tar.gz(r-4.6-any)
mcca_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

On CRAN:

Conda:

3.72 score 5 stars 21 scripts 551 downloads 1 mentions 9 exports 73 dependencies

Last updated from:43f75637c3. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR164
source / vignettesOK216
linux-release-x86_64ERROR169
macos-release-arm64ERROR163
macos-oldrel-arm64ERROR140
windows-develERROR122
windows-releaseERROR122
windows-oldrelERROR130
wasm-releaseOK102

Exports:ccpestpestshumidinripdipmrsq

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr