Reference manual

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install.packages("kernlab")

0.9-33 by Alexandros Karatzoglou, 3 months ago


Browse source code at https://github.com/cran/kernlab


Authors: Alexandros Karatzoglou [aut, cre] , Alex Smola [aut] , Kurt Hornik [aut] , National ICT Australia (NICTA) [cph] , Michael A. Maniscalco [ctb, cph] , Choon Hui Teo [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, stats, grDevices, graphics


Imported by ABPS, AnimalSequences, CondIndTests, CondiS, DA, DMTL, DynTxRegime, Ecume, GeneralisedCovarianceMeasure, GreedyExperimentalDesign, KRMM, MachineShop, OmicSense, PCDimension, PLORN, PredCRG, QuESTr, RISCA, ROI.plugin.ipop, RSSL, STGS, SVMMaj, Synth, TDApplied, TSGS, ampir, aweSOM, bootcluster, brainKCCA, calibrateBinary, classmap, ehymet, fPortfolio, finnts, flevr, fmf, fpc, gecko, geomod, ggscidca, gkmSVM, kernelFactory, kerntools, kpcaIG, kpcalg, ks, lsirm12pl, microsynth, mikropml, mildsvm, mixtools, nlcv, oddstream, personalized, pheble, plsRcox, promor, qrjoint, randomMachines, rminer, robCompositions, rres, ssMutPA, survivalsvm, tboot, tidysynth, tsensembler, tsiR, visaOTR, wearables.

Depended on by CVST, DRR, DTRlearn2, Iscores, KPC, kappalab, kfda, svmpath.

Suggested by BiodiversityR, CompareCausalNetworks, FCPS, GAparsimony, MSCMT, RStoolbox, SSLR, Semblance, SuperLearner, WeightSVM, aum, breakDown, bundle, butcher, caret, colorspace, condvis2, dials, diceR, dimRed, dismo, evclust, evtree, fastml, flowml, fscaret, gamclass, healthyR.ts, iForecast, isotree, loon, mistral, mlr, mlr3cluster, mlr3pipelines, mlrMBO, modeltime, parsnip, pdp, pmml, rattle, recipes, sand, shipunov, soilassessment, spectralGraphTopology, ssc, stacks, superMICE, supervisedPRIM, swag, tidyAML, tidysdm, tune, vcd, viralmodels.

Enhanced by clue, prediction.


See at CRAN