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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 HornikORCID iD [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 fileCOPYRIGHTS
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,calibrateBinary,CFM,classmap,clusterExperiment,clusterWebApp,CondIndTests,CondiS,DA,DMTL,DynTxRegime,Ecume,ehymet,finnts,flevr,fpc,fPortfolio,gecko,GeneralisedCovarianceMeasure,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,viralmodels,visaOTR,wearables
Reverse suggests:aum,BiodiversityR,breakDown,bundle,butcher,caret,colorspace,CompareCausalNetworks,condvis2,DataSimilarity,dials,diceR,dimRed,dismo,E2E,EpidigiR,evtree,fastml,FBMS,FCPS,gamclass,GAparsimony,iForecast,isotree,LLMAgentR,loon,mistral,mistyR,MLInterfaces,mlr,mlr3cluster,mlr3pipelines,mlrMBO,MLSeq,mlspatial,MLwrap,modeltime,MSCMT,multiDEGGs,parsnip,pathMED,pdp,pmml,rattle,recipes,RStoolbox,sand,Semblance,soilassessment,spect,SpoMAG,ssc,stacks,SuperLearner,supervisedPRIM,swag,tidyAML,tidysdm,tune,vcd,WeightSVM,writeAlizer
Reverse enhances:clue,prediction

Linking:

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