kernlab: Kernel-Based Machine Learning Lab

Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.

Version:	0.9-33
Depends:	R (≥ 2.10)
Imports:	methods, stats, grDevices, graphics
Published:	2024-08-13
DOI:	10.32614/CRAN.package.kernlab
Author:	Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]
Maintainer:	Alexandros Karatzoglou <alexandros.karatzoglou at gmail.com>
License:	GPL-2
Copyright:	see file COPYRIGHTS
NeedsCompilation:	yes
Citation:	kernlab citation info
In views:	AnomalyDetection, Cluster, MachineLearning, NaturalLanguageProcessing, Optimization
CRAN checks:	kernlab results

Documentation:

Reference manual:	kernlab.html , kernlab.pdf
Vignettes:	kernlab - An S4 Package for Kernel Methods in R (source, R code)

Downloads:

Package source:	kernlab_0.9-33.tar.gz
Windows binaries:	r-devel: kernlab_0.9-33.zip, r-release: kernlab_0.9-33.zip, r-oldrel: kernlab_0.9-33.zip
macOS binaries:	r-release (arm64): kernlab_0.9-33.tgz, r-oldrel (arm64): kernlab_0.9-33.tgz, r-release (x86_64): kernlab_0.9-33.tgz, r-oldrel (x86_64): kernlab_0.9-33.tgz
Old sources:	kernlab archive

Reverse dependencies:

Reverse depends:	CVST, DRR, DTRlearn2, Iscores, kappalab, kebabs, kfda, KPC, omada, PPInfer, svmpath
Reverse imports:	ABPS, ADImpute, ampir, AnimalSequences, aweSOM, bigPLScox, bootcluster, brainKCCA, branchpointer, calibrateBinary, CFM, classmap, clusterExperiment, clusterWebApp, CondIndTests, CondiS, DA, DMTL, DynTxRegime, Ecume, ehymet, finnts, flevr, fpc, fPortfolio, gecko, geomod, ggscidca, gkmSVM, GreedyExperimentalDesign, kernelFactory, kerntools, KnowSeq, kpcaIG, KRMM, ks, lsirm12pl, MachineShop, microsynth, mikropml, mildsvm, mixtools, nlcv, oddstream, OmicSense, PCDimension, personalized, PIUMA, PLORN, plsRcox, pRoloc, promor, qrjoint, QuESTr, randomMachines, REMP, RISCA, Rmagpie, rminer, robCompositions, roclab, ROI.plugin.ipop, rres, RSSL, S4DM, scAnnotatR, scPCA, scRecover, ssMutPA, survivalsvm, SVMMaj, Synth, tboot, TDApplied, tidysynth, tsensembler, TSGS, tsiR, wearables
Reverse suggests:	aum, BiodiversityR, breakDown, bundle, butcher, caret, colorspace, CompareCausalNetworks, condvis2, DataSimilarity, dials, diceR, dimRed, dismo, E2E, ensModelVis, EpidigiR, evtree, fastml, FBMS, FCPS, gamclass, GAparsimony, healthyR.ts, HPiP, iForecast, isotree, LLMAgentR, loon, mistral, mistyR, MLInterfaces, mlr, mlr3cluster, mlr3pipelines, mlrMBO, MLSeq, mlspatial, MLwrap, modeltime, MSCMT, multiDEGGs, OpEnCAST, parsnip, pathMED, pdp, rattle, recipes, RStoolbox, sand, Semblance, spect, SpoMAG, ssc, stacks, SuperLearner, supervisedPRIM, swag, tidyAML, tidysdm, tune, vcd, WeightSVM, writeAlizer
Reverse enhances:	clue, prediction

Linking:

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