Package: ClassifyR Type: Package Title: A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing Version: 3.17.0 Date: 2025-10-08 Authors@R: c( person(given = "Dario", family = "Strbenac", email = "dario.strbenac@sydney.edu.au", role = c("aut", "cre")), person(given = "Ellis", family = "Patrick", role = "aut"), person(given = "Sourish", family = "Iyengar", role = "aut"), person(given = "Harry", family = "Robertson", role = "aut"), person(given = "Andy", family = "Tran", role = "aut"), person(given = "John", family = "Ormerod", role = "aut"), person(given = "Graham", family = "Mann", role = "aut"), person(given = "Jean", family = "Yang", email = "jean.yang@sydney.edu.au", role = "aut") ) VignetteBuilder: knitr Encoding: UTF-8 biocViews: Classification, Survival Depends: R (>= 4.1.0), generics, methods, S4Vectors, MultiAssayExperiment, BiocParallel, survival Imports: grid, genefilter, utils, dplyr, tidyr, rlang, ranger, ggplot2 (>= 3.5.0), ggpubr, reshape2, ggupset, broom, dcanr Suggests: limma, edgeR, car, Rmixmod, gridExtra (>= 2.0.0), cowplot, BiocStyle, pamr, PoiClaClu, knitr, htmltools, gtable, scales, e1071, rmarkdown, IRanges, robustbase, glmnet, class, randomForestSRC, MatrixModels, xgboost, data.tree, ggnewscale, TOP, BiocNeighbors Description: The software formalises a framework for classification and survival model evaluation in R. There are four stages; Data transformation, feature selection, model training, and prediction. The requirements of variable types and variable order are fixed, but specialised variables for functions can also be provided. The framework is wrapped in a driver loop that reproducibly carries out a number of cross-validation schemes. Functions for differential mean, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework. License: GPL-3 Packaged: 2026-06-23 15:48:41 UTC; root RoxygenNote: 7.3.3 NeedsCompilation: yes Collate: 'ROCplot.R' 'available.R' 'classes.R' 'calcPerformance.R' 'constants.R' 'crissCrossValidate.R' 'crossValidate.R' 'data.R' 'distribution.R' 'edgesToHubNetworks.R' 'featureSetSummary.R' 'getLocationsAndScales.R' 'interactorDifferences.R' 'interfaceClassify.R' 'interfaceCoxPH.R' 'interfaceCoxnet.R' 'interfaceDLDA.R' 'interfaceFisherDiscriminant.R' 'interfaceGLM.R' 'interfaceKNN.R' 'interfaceKTSPclassifier.R' 'interfaceMerge.R' 'interfaceMixModels.R' 'interfaceNSC.R' 'interfaceNaiveBayesKernel.R' 'interfacePCA.R' 'interfacePenalisedGLM.R' 'interfacePrevalidation.R' 'interfaceRandomForest.R' 'interfaceRandomForestSurvival.R' 'interfaceSVM.R' 'interfaceXGB.R' 'performancePlot.R' 'plotFeatureClasses.R' 'precisionPathways.R' 'prepareData.R' 'previousSelection.R' 'previousTrained.R' 'randomSelection.R' 'rankingBartlett.R' 'rankingCoxPH.R' 'rankingDMD.R' 'rankingDifferentMeans.R' 'rankingEdgeR.R' 'rankingKolmogorovSmirnov.R' 'rankingKullbackLeibler.R' 'rankingLevene.R' 'rankingLikelihoodRatio.R' 'rankingLimma.R' 'rankingPairsDifferences.R' 'rankingPlot.R' 'runTest.R' 'runTests.R' 'samplesMetricMap.R' 'selectMulti.R' 'selectionPlot.R' 'simpleParams.R' 'subtractFromLocation.R' 'utilities.R' URL: https://sydneybiox.github.io/ClassifyR/ Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libxml2-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:39:30 UTC RemoteUrl: https://github.com/bioc/ClassifyR RemoteRef: HEAD RemoteSha: 8497bd6bd2eebb60652180ecd0bb87f30d674ffc Author: Dario Strbenac [aut, cre], Ellis Patrick [aut], Sourish Iyengar [aut], Harry Robertson [aut], Andy Tran [aut], John Ormerod [aut], Graham Mann [aut], Jean Yang [aut] Maintainer: Dario Strbenac