Version: 1.7-16

Imports: graphics, grDevices, class, stats, methods, utils, proxy

Suggests: cluster, mlbench, nnet, randomForest, rpart, SparseM, xtable, Matrix, MASS, slam

Published: 2024年09月16日

DOI: 10.32614/CRAN.package.e1071

Author: David Meyer ORCID iD [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik ORCID iD [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)

Maintainer: David Meyer <David.Meyer at R-project.org>

License: GPL-2 | GPL-3

NeedsCompilation: yes

Materials: NEWS

In views: Cluster, Distributions, Environmetrics, MachineLearning, Psychometrics

CRAN checks: e1071 results

Reference manual: e1071.html , e1071.pdf

Vignettes: Support Vector Machines—the Interface to libsvm in package e1071 (source, R code)
svm() internals (source)

Package source: e1071_1.7-16.tar.gz

Windows binaries: r-devel: e1071_1.7-16.zip, r-release: e1071_1.7-16.zip, r-oldrel: e1071_1.7-16.zip

macOS binaries: r-release (arm64): e1071_1.7-16.tgz, r-oldrel (arm64): e1071_1.7-16.tgz, r-release (x86_64): e1071_1.7-16.tgz, r-oldrel (x86_64): e1071_1.7-16.tgz

Old sources: e1071 archive

Reverse depends: AIMS, BayesLCA, bios2mds, btml, ClassificationEnsembles, EMDSVRhybrid, LedPred, LogisticEnsembles, malani, maPredictDSC, MARSSVRhybrid, Mfuzz, MTPS, NumericEnsembles, penalizedSVM, SigCheck, smacof, SwathXtend, tgml, TSSVM

Reverse imports: ADAPTS, AdaSampling, AiES, AriGaMyANNSVR, aRtsy, assignPOP, autoBagging, autoMrP, AutoPlots, aweSOM, BayesCVI, bayesrules, BIDistances, bindata, biosigner, BLRShiny, BLRShiny2, bnviewer, BoutrosLab.plotting.general, BreastSubtypeR, BSDA, BWGS, caret, cati, causalweight, CCI, CEEMDANML, cellity, chemometrics, classInt, classmap, cleanUpdTSeq, ClueR, ClusterGVis, clusterMI, clusterSim, CMShiny, CompositionalML, conformalpvalue, coseq, cpfa, CRImage, CTShiny, CTShiny2, cypress, CytoProfile, dad, daltoolbox, DaMiRseq, DanielBiostatistics10th, DCATS, deconvR, Deducer, DescribeDF, dfmirroR, dPCP, dpcR, DPpack, DSWE, DTWBI, DTWUMI, DWLS, ebmc, ECoL, EcotoneFinder, Ecume, EEMDSVR, EnMCB, EpiDISH, epiNEM, EpiSemble, evalITR, EZtune, fasstr, FeatureTerminatoR, fgga, fitur, flip, flowCut, fMRIscrub, frechet, FSinR, fsr, ftsa, FuzzyClass, FWRGB, GB5mcPred, geNetClassifier, geodiv, geomod, ggscidca, gld, GMDH2, GSA.UN, hda, HetSeq, hydroTSM, hyperoverlap, hypervolume, IGST, ImML, Irescale, ISCA, KCSNBShiny, kebabs, KNNShiny, KnowSeq, less, lfl, LilRhino, live, LncFinder, LOST, MAI, MAIT, MaOEA, MAPFX, maskRangeR, MBMethPred, mcca, MEB, MEclustnet, MetabolomicsBasics, metaEnsembleR, MetaLandSim, metaSVR, MIAmaxent, mikropml, mildsvm, MiPP, mispr, mistral, mixAR, MixGHD, MixStable, mldr.resampling, mlearning, mlmts, mlspatial, MMD, mmibain, mnem, MNLR, Modeler, ModTools, movieROC, MSclassifR, MSiP, mt, multiclassPairs, NanoMethViz, NBShiny, NBShiny2, NBShiny3, negligible, nempi, NeuroDecodeR, NicheBarcoding, nlcv, nlnet, noisemodel, nonet, NonProbEst, nproc, OddsPlotty, OncoSubtype, OpEnHiMR, optBiomarker, PAA, paar, PASWR, PASWR2, Patterns, PhosR, pmartR, PosteriorBootstrap, preciseTAD, PredPsych, pRoloc, psBayesborrow, rADA, radiant.model, RandPro, RaSEn, rchemo, RcmdrMisc, RecordLinkage, reddPrec, rgnoisefilt, RMaCzek, Rmagpie, RMediation, rminer, RobustPrediction, RSDA, RTextTools, sambia, SC3, scAnnotatR, scmap, scorecardModelUtils, scReClassify, sdcMicro, SeqSQC, sharpshootR, shattering, sigFeature, signeR, simPop, SimRDS, SixSigma, SLEMI, SmartPhos, SMDIC, soilassessment, SpaceTrooper, spdep, specleanr, spm2, SSDM, ssr, stablelearner, StatDA, STFTS, stylo, SubCellBarCode, SVMDO, symbolicDA, tableone, TCseq, TestsSymmetry, theftdlc, TPMplt, traineR, traitstrap, trajmsm, transcriptR, trendtestR, TSGS, TSPred, tspredit, TTAinterfaceTrendAnalysis, UniversalCVI, vaccine, VFS, VIM, viper, visaOTR, visualpred, VMDML, WaveletML, WaveletSVR, WeibullFit, xLLiM, ZetaSuite

Reverse suggests: ampir, autonomics, aVirtualTwins, bark, batchtools, BiodiversityR, BioStatR, breakDown, broom, butcher, c2c, caretSDM, catdata, ceterisParibus, ClassifyR, clue, CMA, CNPS, coin, cola, condvis2, ConfusionTableR, cvms, CytoMethIC, DataSimilarity, DeepLearningCausal, diceR, DspikeIn, E2E, easyalluvial, EventDetectR, ezplot, familiar, FastImputation, fdm2id, FinTS, flacco, flowml, frbs, FRESA.CAD, fromo, GAparsimony, GenericML, GROAN, iBreakDown, iml, infinityFlow, IRon, klaR, languageR, MachineShop, misspi, MLInterfaces, MLmetrics, mlr, mlr3cluster, mlr3fselect, mlr3learners, mlr3shiny, mlr3tuningspaces, mlrCPO, MLSeq, mmb, modeltuning, moreparty, mpath, MultiRNAflow, NeuralSens, NHSRdatasets, opalr, ORION, paradox, partools, pdp, PheCAP, PhysicalActivity, PLMIX, PMCMRplus, pmml, posterior, purgeR, pvar, qeML, r2pmml, randomForestVIP, rattle, Rcmdr, RcmdrPlugin.NMBU, RcmdrPlugin.TeachStat, ReporterScore, RforProteomics, robCompositions, rScudo, RStoolbox, Rtropical, RWeka, scGPS, sense, sentometrics, sesame, simglm, sits, ssc, strip, strucchange, strucchangeRcpp, subsemble, SuperLearner, swag, targeted, TBSignatureProfiler, tidybulk, tidyfit, TunePareto, unifiedml, vivid, WeightSVM

Reverse enhances: prediction, sfsmisc