Movatterモバイル変換


[0]ホーム

URL:


pROC: Display and Analyze ROC Curves

Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.

Version:1.19.0.1
Depends:R (≥ 2.14)
Imports:methods,Rcpp (≥ 0.11.1)
LinkingTo:Rcpp
Suggests:tcltk,MASS,logcondens,testthat,vdiffr,ggplot2,rlang
Published:2025-07-31
DOI:10.32614/CRAN.package.pROC
Author:Xavier RobinORCID iD [cre, aut], Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frédérique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Müller [aut], Stefan Siegert [ctb] (Fast DeLong code), Matthias Doering [ctb] (Hand & Till Multiclass), Zane Billings [ctb] (DeLong paired test CI)
Maintainer:Xavier Robin <pROC-cran at xavier.robin.name>
BugReports:https://github.com/xrobin/pROC/issues
License:GPL (≥ 3)
URL:https://xrobin.github.io/pROC/
NeedsCompilation:yes
Citation:pROC citation info
Materials:README,NEWS
CRAN checks:pROC results

Documentation:

Reference manual:pROC.html ,pROC.pdf

Downloads:

Package source: pROC_1.19.0.1.tar.gz
Windows binaries: r-devel:pROC_1.19.0.1.zip, r-release:pROC_1.19.0.1.zip, r-oldrel:pROC_1.19.0.1.zip
macOS binaries: r-release (arm64):pROC_1.19.0.1.tgz, r-oldrel (arm64):pROC_1.19.0.1.tgz, r-release (x86_64):pROC_1.19.0.1.tgz, r-oldrel (x86_64):pROC_1.19.0.1.tgz
Old sources: pROC archive

Reverse dependencies:

Reverse depends:alternativeROC,btml,btrm,FRESA.CAD,HMTL,LogisticEnsembles,multiridge,packMBPLSDA,persDx,RatingScaleReduction,RcmdrPlugin.ROC,roccv,ROCpsych,switchBox,tgml,varoc
Reverse imports:ActiveLearning4SPM,AgeTopicModels,ApplyPolygenicScore,AutoScore,auxvecLASSO,bbl,BDgraph,betaclust,betaHMM,biomod2,BioMoR,BioPET,BioPred,biospear,bnns,CalibratR,caret,caretSDM,celda,clintools,coda4microbiome,codacore,combiroc,CompMix,CoOL,cvms,CytoProfile,DeepTarget,DET,DSAM,Dtableone,dtComb,E2E,ebmc,elo,EQUALSTATS,EvalTest,fairGATE,fairGNN,fairness,fastml,filtro,finalfit,glossa,heimdall,HetSeq,Hmsc,hsstan,idiolect,Immigrate,immunaut,INSPEcT,interflex,jsmodule,kgraph,lares,LEGIT,lilikoi,LKT,logitFD,lsirm12pl,markeR,MBMethPred,mcca,mcradds,metamisc,miceafter,mildsvm,MiRNAQCD,mixvlmc,ModTools,MSiP,mslp,MUGS,MultiClassROC,multid,multisite.accuracy,MUVR2,neatStats,nestedcv,nestfs,netprioR,NicheBarcoding,nonet,ONAM,oscar,PatientLevelPrediction,PDATK,PEAXAI,PMAPscore,pminternal,pmvalsampsize,pomodoro,powerPLS,pprof,preciseTAD,predRupdate,predtools,priorityelasticnet,promor,psfmi,PSS.Health,QuanDA,r4lineups,RAIDS,randomUniformForest,raptools,RegAssure,reportROC,rgm,riskscores,RIVER,RobustPrediction,rocbc,roclab,RQdeltaCT,Rtpca,S4DM,sambia,SAMGEP,scAnnotatR,sccore,scds,SCGLR,SIAMCAT,signeR,sivs,smdi,sparselink,sphereML,stackgbm,stepPenal,StepReg,sureLDA,TBSignatureProfiler,ThresholdROC,ThresholdROCsurvival,TOP,tpAUC,transcriptR,TrendInTrend,triptych,TSLA,TwoRegression,visualpred,wevid
Reverse suggests:aplore3,arsenal,BGLR,bst,BuyseTest,cassandRa,catalytic,clinpubr,DataSimilarity,easy.glmnet,eclust,ensemblepp,fairmetrics,fgga,funkycells,fuseMLR,genomicInstability,glmSparseNet,iModMix,inferCSN,liver,MAP,mldr,palasso,pre,prioritylasso,qeML,RcmdrPlugin.EZR,riskRegression,ROCaggregator,scGraphVerse,spmodel,SSN2,StratifiedMedicine,swag,WeightedROC

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pROCto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp