Package: ClusROC 1.0.2

ClusROC: ROC Analysis in Three-Class Classification Problems for Clustered Data

Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for: (i) true class fractions (TCFs) at fixed pairs of thresholds; (ii) the ROC surface; (iii) the volume under ROC surface (VUS); (iv) the optimal pairs of thresholds. Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) <doi:10.1177/09622802221089029>. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) <doi:10.1177/0962280217742539>. Visualization tools are also provided. We refer readers to the articles cited above for all details.

Authors:Duc-Khanh To [aut, cre], with contributions from Gianfranco Adimari and Monica Chiogna

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Bug tracker:https://github.com/toduckhanh/clusroc/issues

On CRAN:

biomakerbox-cox-transformationmixed-effects-modelsoptimal-thresholdreciver-operating-characteristics

6 exports 0.63 score 96 dependencies 6 scripts 259 downloads

Last updated 2 years agofrom:70eb50546c. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:ci_clus_vusclus_lmeclus_opt_thres3clus_roc_surfaceclus_tcfsclus_vus

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11DerivdigestdoBydoParalleldplyrellipseevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrglrlangrmarkdownrstatixsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml