This package is considered a duplicate. The official version of this package is found at:https://alexkz.r-universe.dev/kernlab
Package: kernlab 0.9-33
Alexandros Karatzoglou
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.
Authors:
kernlab_0.9-33.tar.gz
kernlab_0.9-33.tar.gz(r-4.5-noble)kernlab_0.9-33.tar.gz(r-4.4-noble)
kernlab_0.9-33.tgz(r-4.4-emscripten)kernlab_0.9-33.tgz(r-4.3-emscripten)
kernlab.pdf |kernlab.html✨
kernlab/json (API)
| # Install 'kernlab' in R: |
| install.packages('kernlab', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:d8f05c9b1b. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux-x86_64 | OK | Dec 18 2024 |
Exports:alphaalphaindexanovadotas.kernelMatrixAsymboundAsympH0bbesseldotbuffercenterscoefconvergencecouplecrosscsidiagresiduesdualedgegrapheigerrorfittedgaussprH0howincholinlearnipopkcallkccakcorkernelfkernelFastkernelMatrixkernelMultkernelPolkfakhakkmeanskmmdkparkpcakqrksvmlaplacedotlevlssvmmaxresidualsmlikemmdstatsnSVnvarobjonlearnparampcvpivotsplotpolydotpredgainpredictprimalpriorprob.modelQRRadboundrankingrbfdotrhorotatedRVindexrvmscalingshowsigestsizespeccsplinedotstringdotSVindextanhdottruegaintypevanilladotwithinssxcoefxmatrixycoefymatrix
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assing kernelMatrix class to matrix objects | as.kernelMatrix as.kernelMatrix,matrix-method as.kernelMatrix-methods kernelMatrix-class |
| Probabilities Coupling function | couple |
| Cholesky decomposition with Side Information | csi csi,matrix-method csi-methods |
| Class "csi" | csi-class diagresidues,csi-method maxresiduals,csi-method pivots,csi-method predgain predgain,csi-method Q Q,csi-method R R,csi-method truegain truegain,csi-method |
| Kernel Functions | anovadot besseldot dots fourierdot kernels kfunction kpar laplacedot polydot rbfdot show,kernel-method splinedot tanhdot vanilladot |
| Gaussian processes for regression and classification | coef,gausspr-method gausspr gausspr,formula-method gausspr,matrix-method gausspr,vector-method show,gausspr-method |
| Class "gausspr" | alpha,gausspr-method alphaindex,gausspr-method cross,gausspr-method error,gausspr-method gausspr-class kcall,gausspr-method kernelf,gausspr-method kpar,gausspr-method lev,gausspr-method scaling,gausspr-method type,gausspr-method xmatrix,gausspr-method ymatrix,gausspr-method |
| Incomplete Cholesky decomposition | inchol inchol,matrix-method |
| Class "inchol" | diagresidues diagresidues,inchol-method inchol-class maxresiduals maxresiduals,inchol-method pivots pivots,inchol-method |
| Income Data | income |
| Onlearn object initialization | inlearn inlearn,numeric-method |
| Quadratic Programming Solver | ipop ipop,ANY,matrix-method |
| Class "ipop" | dual dual,ipop-method how how,ipop-method ipop-class primal primal,ipop-method |
| Kernel Canonical Correlation Analysis | kcca kcca,matrix-method |
| Class "kcca" | kcca-class kcor kcor,kcca-method xcoef xcoef,kcca-method xvar,kcca-method ycoef ycoef,kcca-method yvar,kcca-method |
| Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" | anovakernel-class besselkernel-class fourierkernel-class kernel-class kfunction-class kpar,kernel-method laplacekernel-class polykernel-class rbfkernel-class splinekernel-class stringkernel-class tanhkernel-class vanillakernel-class |
| Kernel Matrix functions | kernelFast kernelFast,anovakernel-method kernelFast,besselkernel-method kernelFast,kernel-method kernelFast,laplacekernel-method kernelFast,polykernel-method kernelFast,rbfkernel-method kernelFast,splinekernel-method kernelFast,stringkernel-method kernelFast,tanhkernel-method kernelFast,vanillakernel-method kernelMatrix kernelMatrix,anovakernel-method kernelMatrix,besselkernel-method kernelMatrix,kernel-method kernelMatrix,laplacekernel-method kernelMatrix,polykernel-method kernelMatrix,rbfkernel-method kernelMatrix,splinekernel-method kernelMatrix,stringkernel-method kernelMatrix,tanhkernel-method kernelMatrix,vanillakernel-method kernelMult kernelMult,anovakernel,ANY-method kernelMult,besselkernel,ANY-method kernelMult,character,kernelMatrix-method kernelMult,kernel-method kernelMult,laplacekernel,ANY-method kernelMult,polykernel,ANY-method kernelMult,rbfkernel,ANY-method kernelMult,splinekernel,ANY-method kernelMult,stringkernel,ANY-method kernelMult,tanhkernel,ANY-method kernelMult,vanillakernel,ANY-method kernelPol kernelPol,anovakernel-method kernelPol,besselkernel-method kernelPol,kernel-method kernelPol,laplacekernel-method kernelPol,polykernel-method kernelPol,rbfkernel-method kernelPol,splinekernel-method kernelPol,stringkernel-method kernelPol,tanhkernel-method kernelPol,vanillakernel-method |
| Kernel Feature Analysis | coef,kfa-method kfa kfa,formula-method kfa,matrix-method show,kfa-method |
| Class "kfa" | alpha,kfa-method alphaindex,kfa-method kcall,kfa-method kernelf,kfa-method kfa-class predict,kfa-method xmatrix,kfa-method |
| Kernel Principal Components Analysis | kha kha,formula-method kha,matrix-method predict,kha-method |
| Class "kha" | eig,kha-method eskm,kha-method kcall,kha-method kernelf,kha-method kha-class pcv,kha-method xmatrix,kha-method |
| Kernel k-means | kkmeans kkmeans,formula-method kkmeans,kernelMatrix-method kkmeans,list-method kkmeans,matrix-method |
| Kernel Maximum Mean Discrepancy. | Asymbound AsympH0 H0 kmmd kmmd,kernelMatrix-method kmmd,list-method kmmd,matrix-method mmdstats Radbound show,kmmd-method |
| Class "kqr" | Asymbound,kmmd-method AsympH0,kmmd-method H0,kmmd-method kernelf,kmmd-method kmmd-class mmdstats,kmmd-method Radbound,kmmd-method |
| Kernel Principal Components Analysis | kpca kpca,formula-method kpca,kernelMatrix-method kpca,list-method kpca,matrix-method predict,kpca-method |
| Class "kpca" | eig,kpca-method kcall,kpca-method kernelf,kpca-method kpca-class pcv,kpca-method rotated rotated,kpca-method xmatrix,kpca-method |
| Kernel Quantile Regression. | coef,kqr-method kqr kqr,formula-method kqr,kernelMatrix-method kqr,list-method kqr,matrix-method kqr,vector-method show,kqr-method |
| Class "kqr" | alpha,kqr-method alphaindex,kqr-method b,kqr-method cross,kqr-method error,kqr-method kcall,kqr-method kernelf,kqr-method kpar,kqr-method kqr-class param,kqr-method scaling,kqr-method xmatrix,kqr-method ymatrix,kqr-method |
| Support Vector Machines | coef,ksvm-method ksvm ksvm,formula-method ksvm,kernelMatrix-method ksvm,list-method ksvm,matrix-method ksvm,vector-method show,ksvm-method |
| Class "ksvm" | alpha,ksvm-method alphaindex alphaindex,ksvm-method b b,ksvm-method coef,vm-method cross,ksvm-method error,ksvm-method fitted,ksvm-method kcall,ksvm-method kernelf,ksvm-method kpar,ksvm-method ksvm-class lev,ksvm-method nSV nSV,ksvm-method obj obj,ksvm-method param param,ksvm-method prior prior,ksvm-method prob.model prob.model,ksvm-method scaling scaling,ksvm-method show SVindex SVindex,ksvm-method type,ksvm-method xmatrix,ksvm-method ymatrix,ksvm-method |
| Least Squares Support Vector Machine | coef,lssvm-method lssvm lssvm,formula-method lssvm,kernelMatrix-method lssvm,list-method lssvm,matrix-method lssvm,vector-method lssvm-methods predict,lssvm-method show,lssvm-method |
| Class "lssvm" | alpha,lssvm-method alphaindex,lssvm-method b,lssvm-method cross,lssvm-method error,lssvm-method kcall,lssvm-method kernelf,lssvm-method kpar,lssvm-method lev,lssvm-method lssvm-class nSV,lssvm-method param,lssvm-method scaling,lssvm-method type,lssvm-method xmatrix,lssvm-method ymatrix,lssvm-method |
| Musk data set | musk |
| Kernel Online Learning algorithms | onlearn onlearn,onlearn-method |
| Class "onlearn" | alpha,onlearn-method b,onlearn-method buffer buffer,onlearn-method fit,onlearn-method kernelf,onlearn-method kpar,onlearn-method onlearn-class predict,onlearn-method rho rho,onlearn-method show,onlearn-method type,onlearn-method xmatrix,onlearn-method |
| plot method for support vector object | plot,ksvm,missing-method plot,ksvm-method plot.ksvm |
| Class "prc" | eig eig,prc-method kcall,prc-method kernelf,prc-method pcv pcv,prc-method prc-class xmatrix,prc-method |
| predict method for Gaussian Processes object | predict,gausspr-method predict.gausspr |
| Predict method for kernel Quantile Regression object | predict,kqr-method predict.kqr |
| predict method for support vector object | predict,ksvm-method predict.ksvm |
| E. coli promoter gene sequences (DNA) | promotergene |
| Ranking | ranking ranking,kernelMatrix-method ranking,list-method ranking,matrix-method |
| Class "ranking" | convergence convergence,ranking-method edgegraph edgegraph,ranking-method ranking-class show,ranking-method |
| Reuters Text Data | reuters rlabels |
| Relevance Vector Machine | coef,rvm-method predict,rvm-method rvm rvm,formula-method rvm,kernelMatrix-method rvm,list-method rvm,matrix-method rvm,vector-method rvm-methods show,rvm-method |
| Class "rvm" | alpha,rvm-method cross,rvm-method error,rvm-method kcall,rvm-method kernelf,rvm-method kpar,rvm-method lev,rvm-method mlike mlike,rvm-method nvar nvar,rvm-method RVindex RVindex,rvm-method rvm-class type,rvm-method xmatrix,rvm-method ymatrix,rvm-method |
| Hyperparameter estimation for the Gaussian Radial Basis kernel | sigest sigest,formula-method sigest,matrix-method |
| Spam E-mail Database | spam |
| Spectral Clustering | show,specc-method specc specc,formula-method specc,kernelMatrix-method specc,list-method specc,matrix-method |
| Class "specc" | centers centers,specc-method kernelf,specc-method size size,specc-method specc-class withinss withinss,specc-method |
| Spirals Dataset | spirals |
| String Kernel Functions | stringdot |
| The Insurance Company Data | ticdata |
| Class "vm" | alpha alpha,vm-method cross cross,vm-method error error,vm-method fitted,vm-method kcall kcall,vm-method kernelf kernelf,vm-method kpar,vm-method lev lev,vm-method type type,vm-method vm-class xmatrix xmatrix,vm-method ymatrix ymatrix,vm-method |
