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A B C D E F G H I K L M N O P Q R S T V W X Y
| alpha | Class "vm" |
| alpha,gausspr-method | Class "gausspr" |
| alpha,kfa-method | Class "kfa" |
| alpha,kqr-method | Class "kqr" |
| alpha,ksvm-method | Class "ksvm" |
| alpha,lssvm-method | Class "lssvm" |
| alpha,onlearn-method | Class "onlearn" |
| alpha,rvm-method | Class "rvm" |
| alpha,vm-method | Class "vm" |
| alphaindex | Class "ksvm" |
| alphaindex,gausspr-method | Class "gausspr" |
| alphaindex,kfa-method | Class "kfa" |
| alphaindex,kqr-method | Class "kqr" |
| alphaindex,ksvm-method | Class "ksvm" |
| alphaindex,lssvm-method | Class "lssvm" |
| anovadot | Kernel Functions |
| anovakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| as.kernelMatrix | Assing kernelMatrix class to matrix objects |
| as.kernelMatrix,matrix-method | Assing kernelMatrix class to matrix objects |
| as.kernelMatrix-methods | Assing kernelMatrix class to matrix objects |
| Asymbound | Kernel Maximum Mean Discrepancy. |
| Asymbound,kmmd-method | Class "kqr" |
| AsympH0 | Kernel Maximum Mean Discrepancy. |
| AsympH0,kmmd-method | Class "kqr" |
| b | Class "ksvm" |
| b,kqr-method | Class "kqr" |
| b,ksvm-method | Class "ksvm" |
| b,lssvm-method | Class "lssvm" |
| b,onlearn-method | Class "onlearn" |
| besseldot | Kernel Functions |
| besselkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| buffer | Class "onlearn" |
| buffer,onlearn-method | Class "onlearn" |
| centers | Class "specc" |
| centers,specc-method | Class "specc" |
| coef,gausspr-method | Gaussian processes for regression and classification |
| coef,kfa-method | Kernel Feature Analysis |
| coef,kqr-method | Kernel Quantile Regression. |
| coef,ksvm-method | Support Vector Machines |
| coef,lssvm-method | Least Squares Support Vector Machine |
| coef,rvm-method | Relevance Vector Machine |
| coef,vm-method | Class "ksvm" |
| convergence | Class "ranking" |
| convergence,ranking-method | Class "ranking" |
| couple | Probabilities Coupling function |
| cross | Class "vm" |
| cross,gausspr-method | Class "gausspr" |
| cross,kqr-method | Class "kqr" |
| cross,ksvm-method | Class "ksvm" |
| cross,lssvm-method | Class "lssvm" |
| cross,rvm-method | Class "rvm" |
| cross,vm-method | Class "vm" |
| csi | Cholesky decomposition with Side Information |
| csi,matrix-method | Cholesky decomposition with Side Information |
| csi-class | Class "csi" |
| csi-methods | Cholesky decomposition with Side Information |
| diagresidues | Class "inchol" |
| diagresidues,csi-method | Class "csi" |
| diagresidues,inchol-method | Class "inchol" |
| dots | Kernel Functions |
| dual | Class "ipop" |
| dual,ipop-method | Class "ipop" |
| edgegraph | Class "ranking" |
| edgegraph,ranking-method | Class "ranking" |
| eig | Class "prc" |
| eig,kha-method | Class "kha" |
| eig,kpca-method | Class "kpca" |
| eig,prc-method | Class "prc" |
| error | Class "vm" |
| error,gausspr-method | Class "gausspr" |
| error,kqr-method | Class "kqr" |
| error,ksvm-method | Class "ksvm" |
| error,lssvm-method | Class "lssvm" |
| error,rvm-method | Class "rvm" |
| error,vm-method | Class "vm" |
| eskm,kha-method | Class "kha" |
| fit,onlearn-method | Class "onlearn" |
| fitted,ksvm-method | Class "ksvm" |
| fitted,vm-method | Class "vm" |
| fourierdot | Kernel Functions |
| fourierkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| gausspr | Gaussian processes for regression and classification |
| gausspr,formula-method | Gaussian processes for regression and classification |
| gausspr,matrix-method | Gaussian processes for regression and classification |
| gausspr,vector-method | Gaussian processes for regression and classification |
| gausspr-class | Class "gausspr" |
| H0 | Kernel Maximum Mean Discrepancy. |
| H0,kmmd-method | Class "kqr" |
| how | Class "ipop" |
| how,ipop-method | Class "ipop" |
| inchol | Incomplete Cholesky decomposition |
| inchol,matrix-method | Incomplete Cholesky decomposition |
| inchol-class | Class "inchol" |
| income | Income Data |
| inlearn | Onlearn object initialization |
| inlearn,numeric-method | Onlearn object initialization |
| ipop | Quadratic Programming Solver |
| ipop,ANY,matrix-method | Quadratic Programming Solver |
| ipop-class | Class "ipop" |
| kcall | Class "vm" |
| kcall,gausspr-method | Class "gausspr" |
| kcall,kfa-method | Class "kfa" |
| kcall,kha-method | Class "kha" |
| kcall,kpca-method | Class "kpca" |
| kcall,kqr-method | Class "kqr" |
| kcall,ksvm-method | Class "ksvm" |
| kcall,lssvm-method | Class "lssvm" |
| kcall,prc-method | Class "prc" |
| kcall,rvm-method | Class "rvm" |
| kcall,vm-method | Class "vm" |
| kcca | Kernel Canonical Correlation Analysis |
| kcca,matrix-method | Kernel Canonical Correlation Analysis |
| kcca-class | Class "kcca" |
| kcor | Class "kcca" |
| kcor,kcca-method | Class "kcca" |
| kernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| kernelf | Class "vm" |
| kernelf,gausspr-method | Class "gausspr" |
| kernelf,kfa-method | Class "kfa" |
| kernelf,kha-method | Class "kha" |
| kernelf,kmmd-method | Class "kqr" |
| kernelf,kpca-method | Class "kpca" |
| kernelf,kqr-method | Class "kqr" |
| kernelf,ksvm-method | Class "ksvm" |
| kernelf,lssvm-method | Class "lssvm" |
| kernelf,onlearn-method | Class "onlearn" |
| kernelf,prc-method | Class "prc" |
| kernelf,rvm-method | Class "rvm" |
| kernelf,specc-method | Class "specc" |
| kernelf,vm-method | Class "vm" |
| kernelFast | Kernel Matrix functions |
| kernelFast,anovakernel-method | Kernel Matrix functions |
| kernelFast,besselkernel-method | Kernel Matrix functions |
| kernelFast,kernel-method | Kernel Matrix functions |
| kernelFast,laplacekernel-method | Kernel Matrix functions |
| kernelFast,polykernel-method | Kernel Matrix functions |
| kernelFast,rbfkernel-method | Kernel Matrix functions |
| kernelFast,splinekernel-method | Kernel Matrix functions |
| kernelFast,stringkernel-method | Kernel Matrix functions |
| kernelFast,tanhkernel-method | Kernel Matrix functions |
| kernelFast,vanillakernel-method | Kernel Matrix functions |
| kernelMatrix | Kernel Matrix functions |
| kernelMatrix,anovakernel-method | Kernel Matrix functions |
| kernelMatrix,besselkernel-method | Kernel Matrix functions |
| kernelMatrix,kernel-method | Kernel Matrix functions |
| kernelMatrix,laplacekernel-method | Kernel Matrix functions |
| kernelMatrix,polykernel-method | Kernel Matrix functions |
| kernelMatrix,rbfkernel-method | Kernel Matrix functions |
| kernelMatrix,splinekernel-method | Kernel Matrix functions |
| kernelMatrix,stringkernel-method | Kernel Matrix functions |
| kernelMatrix,tanhkernel-method | Kernel Matrix functions |
| kernelMatrix,vanillakernel-method | Kernel Matrix functions |
| kernelMatrix-class | Assing kernelMatrix class to matrix objects |
| kernelMult | Kernel Matrix functions |
| kernelMult,anovakernel,ANY-method | Kernel Matrix functions |
| kernelMult,besselkernel,ANY-method | Kernel Matrix functions |
| kernelMult,character,kernelMatrix-method | Kernel Matrix functions |
| kernelMult,kernel-method | Kernel Matrix functions |
| kernelMult,laplacekernel,ANY-method | Kernel Matrix functions |
| kernelMult,polykernel,ANY-method | Kernel Matrix functions |
| kernelMult,rbfkernel,ANY-method | Kernel Matrix functions |
| kernelMult,splinekernel,ANY-method | Kernel Matrix functions |
| kernelMult,stringkernel,ANY-method | Kernel Matrix functions |
| kernelMult,tanhkernel,ANY-method | Kernel Matrix functions |
| kernelMult,vanillakernel,ANY-method | Kernel Matrix functions |
| kernelPol | Kernel Matrix functions |
| kernelPol,anovakernel-method | Kernel Matrix functions |
| kernelPol,besselkernel-method | Kernel Matrix functions |
| kernelPol,kernel-method | Kernel Matrix functions |
| kernelPol,laplacekernel-method | Kernel Matrix functions |
| kernelPol,polykernel-method | Kernel Matrix functions |
| kernelPol,rbfkernel-method | Kernel Matrix functions |
| kernelPol,splinekernel-method | Kernel Matrix functions |
| kernelPol,stringkernel-method | Kernel Matrix functions |
| kernelPol,tanhkernel-method | Kernel Matrix functions |
| kernelPol,vanillakernel-method | Kernel Matrix functions |
| kernels | Kernel Functions |
| kfa | Kernel Feature Analysis |
| kfa,formula-method | Kernel Feature Analysis |
| kfa,matrix-method | Kernel Feature Analysis |
| kfa-class | Class "kfa" |
| kfunction | Kernel Functions |
| kfunction-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| kha | Kernel Principal Components Analysis |
| kha,formula-method | Kernel Principal Components Analysis |
| kha,matrix-method | Kernel Principal Components Analysis |
| kha-class | Class "kha" |
| kkmeans | Kernel k-means |
| kkmeans,formula-method | Kernel k-means |
| kkmeans,kernelMatrix-method | Kernel k-means |
| kkmeans,list-method | Kernel k-means |
| kkmeans,matrix-method | Kernel k-means |
| kmmd | Kernel Maximum Mean Discrepancy. |
| kmmd,kernelMatrix-method | Kernel Maximum Mean Discrepancy. |
| kmmd,list-method | Kernel Maximum Mean Discrepancy. |
| kmmd,matrix-method | Kernel Maximum Mean Discrepancy. |
| kmmd-class | Class "kqr" |
| kpar | Kernel Functions |
| kpar,gausspr-method | Class "gausspr" |
| kpar,kernel-method | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| kpar,kqr-method | Class "kqr" |
| kpar,ksvm-method | Class "ksvm" |
| kpar,lssvm-method | Class "lssvm" |
| kpar,onlearn-method | Class "onlearn" |
| kpar,rvm-method | Class "rvm" |
| kpar,vm-method | Class "vm" |
| kpca | Kernel Principal Components Analysis |
| kpca,formula-method | Kernel Principal Components Analysis |
| kpca,kernelMatrix-method | Kernel Principal Components Analysis |
| kpca,list-method | Kernel Principal Components Analysis |
| kpca,matrix-method | Kernel Principal Components Analysis |
| kpca-class | Class "kpca" |
| kqr | Kernel Quantile Regression. |
| kqr,formula-method | Kernel Quantile Regression. |
| kqr,kernelMatrix-method | Kernel Quantile Regression. |
| kqr,list-method | Kernel Quantile Regression. |
| kqr,matrix-method | Kernel Quantile Regression. |
| kqr,vector-method | Kernel Quantile Regression. |
| kqr-class | Class "kqr" |
| ksvm | Support Vector Machines |
| ksvm,formula-method | Support Vector Machines |
| ksvm,kernelMatrix-method | Support Vector Machines |
| ksvm,list-method | Support Vector Machines |
| ksvm,matrix-method | Support Vector Machines |
| ksvm,vector-method | Support Vector Machines |
| ksvm-class | Class "ksvm" |
| laplacedot | Kernel Functions |
| laplacekernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| lev | Class "vm" |
| lev,gausspr-method | Class "gausspr" |
| lev,ksvm-method | Class "ksvm" |
| lev,lssvm-method | Class "lssvm" |
| lev,rvm-method | Class "rvm" |
| lev,vm-method | Class "vm" |
| lssvm | Least Squares Support Vector Machine |
| lssvm,formula-method | Least Squares Support Vector Machine |
| lssvm,kernelMatrix-method | Least Squares Support Vector Machine |
| lssvm,list-method | Least Squares Support Vector Machine |
| lssvm,matrix-method | Least Squares Support Vector Machine |
| lssvm,vector-method | Least Squares Support Vector Machine |
| lssvm-class | Class "lssvm" |
| lssvm-methods | Least Squares Support Vector Machine |
| maxresiduals | Class "inchol" |
| maxresiduals,csi-method | Class "csi" |
| maxresiduals,inchol-method | Class "inchol" |
| mlike | Class "rvm" |
| mlike,rvm-method | Class "rvm" |
| mmdstats | Kernel Maximum Mean Discrepancy. |
| mmdstats,kmmd-method | Class "kqr" |
| musk | Musk data set |
| nSV | Class "ksvm" |
| nSV,ksvm-method | Class "ksvm" |
| nSV,lssvm-method | Class "lssvm" |
| nvar | Class "rvm" |
| nvar,rvm-method | Class "rvm" |
| obj | Class "ksvm" |
| obj,ksvm-method | Class "ksvm" |
| onlearn | Kernel Online Learning algorithms |
| onlearn,onlearn-method | Kernel Online Learning algorithms |
| onlearn-class | Class "onlearn" |
| param | Class "ksvm" |
| param,kqr-method | Class "kqr" |
| param,ksvm-method | Class "ksvm" |
| param,lssvm-method | Class "lssvm" |
| pcv | Class "prc" |
| pcv,kha-method | Class "kha" |
| pcv,kpca-method | Class "kpca" |
| pcv,prc-method | Class "prc" |
| pivots | Class "inchol" |
| pivots,csi-method | Class "csi" |
| pivots,inchol-method | Class "inchol" |
| plot,ksvm,missing-method | plot method for support vector object |
| plot,ksvm-method | plot method for support vector object |
| plot.ksvm | plot method for support vector object |
| polydot | Kernel Functions |
| polykernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| prc-class | Class "prc" |
| predgain | Class "csi" |
| predgain,csi-method | Class "csi" |
| predict,gausspr-method | predict method for Gaussian Processes object |
| predict,kfa-method | Class "kfa" |
| predict,kha-method | Kernel Principal Components Analysis |
| predict,kpca-method | Kernel Principal Components Analysis |
| predict,kqr-method | Predict method for kernel Quantile Regression object |
| predict,ksvm-method | predict method for support vector object |
| predict,lssvm-method | Least Squares Support Vector Machine |
| predict,onlearn-method | Class "onlearn" |
| predict,rvm-method | Relevance Vector Machine |
| predict.gausspr | predict method for Gaussian Processes object |
| predict.kqr | Predict method for kernel Quantile Regression object |
| predict.ksvm | predict method for support vector object |
| primal | Class "ipop" |
| primal,ipop-method | Class "ipop" |
| prior | Class "ksvm" |
| prior,ksvm-method | Class "ksvm" |
| prob.model | Class "ksvm" |
| prob.model,ksvm-method | Class "ksvm" |
| promotergene | E. coli promoter gene sequences (DNA) |
| Q | Class "csi" |
| Q,csi-method | Class "csi" |
| R | Class "csi" |
| R,csi-method | Class "csi" |
| Radbound | Kernel Maximum Mean Discrepancy. |
| Radbound,kmmd-method | Class "kqr" |
| ranking | Ranking |
| ranking,kernelMatrix-method | Ranking |
| ranking,list-method | Ranking |
| ranking,matrix-method | Ranking |
| ranking-class | Class "ranking" |
| rbfdot | Kernel Functions |
| rbfkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| reuters | Reuters Text Data |
| rho | Class "onlearn" |
| rho,onlearn-method | Class "onlearn" |
| rlabels | Reuters Text Data |
| rotated | Class "kpca" |
| rotated,kpca-method | Class "kpca" |
| RVindex | Class "rvm" |
| RVindex,rvm-method | Class "rvm" |
| rvm | Relevance Vector Machine |
| rvm,formula-method | Relevance Vector Machine |
| rvm,kernelMatrix-method | Relevance Vector Machine |
| rvm,list-method | Relevance Vector Machine |
| rvm,matrix-method | Relevance Vector Machine |
| rvm,vector-method | Relevance Vector Machine |
| rvm-class | Class "rvm" |
| rvm-methods | Relevance Vector Machine |
| scaling | Class "ksvm" |
| scaling,gausspr-method | Class "gausspr" |
| scaling,kqr-method | Class "kqr" |
| scaling,ksvm-method | Class "ksvm" |
| scaling,lssvm-method | Class "lssvm" |
| show | Class "ksvm" |
| show,gausspr-method | Gaussian processes for regression and classification |
| show,kernel-method | Kernel Functions |
| show,kfa-method | Kernel Feature Analysis |
| show,kmmd-method | Kernel Maximum Mean Discrepancy. |
| show,kqr-method | Kernel Quantile Regression. |
| show,ksvm-method | Support Vector Machines |
| show,lssvm-method | Least Squares Support Vector Machine |
| show,onlearn-method | Class "onlearn" |
| show,ranking-method | Class "ranking" |
| show,rvm-method | Relevance Vector Machine |
| show,specc-method | Spectral Clustering |
| sigest | Hyperparameter estimation for the Gaussian Radial Basis kernel |
| sigest,formula-method | Hyperparameter estimation for the Gaussian Radial Basis kernel |
| sigest,matrix-method | Hyperparameter estimation for the Gaussian Radial Basis kernel |
| size | Class "specc" |
| size,specc-method | Class "specc" |
| spam | Spam E-mail Database |
| specc | Spectral Clustering |
| specc,formula-method | Spectral Clustering |
| specc,kernelMatrix-method | Spectral Clustering |
| specc,list-method | Spectral Clustering |
| specc,matrix-method | Spectral Clustering |
| specc-class | Class "specc" |
| spirals | Spirals Dataset |
| splinedot | Kernel Functions |
| splinekernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| stringdot | String Kernel Functions |
| stringkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| SVindex | Class "ksvm" |
| SVindex,ksvm-method | Class "ksvm" |
| tanhdot | Kernel Functions |
| tanhkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| ticdata | The Insurance Company Data |
| truegain | Class "csi" |
| truegain,csi-method | Class "csi" |
| type | Class "vm" |
| type,gausspr-method | Class "gausspr" |
| type,ksvm-method | Class "ksvm" |
| type,lssvm-method | Class "lssvm" |
| type,onlearn-method | Class "onlearn" |
| type,rvm-method | Class "rvm" |
| type,vm-method | Class "vm" |
| vanilladot | Kernel Functions |
| vanillakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| vm-class | Class "vm" |
| withinss | Class "specc" |
| withinss,specc-method | Class "specc" |
| xcoef | Class "kcca" |
| xcoef,kcca-method | Class "kcca" |
| xmatrix | Class "vm" |
| xmatrix,gausspr-method | Class "gausspr" |
| xmatrix,kfa-method | Class "kfa" |
| xmatrix,kha-method | Class "kha" |
| xmatrix,kpca-method | Class "kpca" |
| xmatrix,kqr-method | Class "kqr" |
| xmatrix,ksvm-method | Class "ksvm" |
| xmatrix,lssvm-method | Class "lssvm" |
| xmatrix,onlearn-method | Class "onlearn" |
| xmatrix,prc-method | Class "prc" |
| xmatrix,rvm-method | Class "rvm" |
| xmatrix,vm-method | Class "vm" |
| xvar,kcca-method | Class "kcca" |
| ycoef | Class "kcca" |
| ycoef,kcca-method | Class "kcca" |
| ymatrix | Class "vm" |
| ymatrix,gausspr-method | Class "gausspr" |
| ymatrix,kqr-method | Class "kqr" |
| ymatrix,ksvm-method | Class "ksvm" |
| ymatrix,lssvm-method | Class "lssvm" |
| ymatrix,rvm-method | Class "rvm" |
| ymatrix,vm-method | Class "vm" |
| yvar,kcca-method | Class "kcca" |