![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Package List]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
A B C D E F G H I K L M N P R S T V W X Y
| alpha | Class "ksvm" |
| alpha,gausspr-method | Class "gausspr" |
| alpha,ksvm-method | Class "ksvm" |
| alpha,rvm-method | Class "rvm" |
| alphaindex | Class "ksvm" |
| alphaindex,gausspr-method | Class "gausspr" |
| alphaindex,ksvm-method | Class "ksvm" |
| anovadot | Kernel Functions |
| anovakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| besseldot | Kernel Functions |
| besselkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| centers | Class "specc" |
| centers,specc-method | Class "specc" |
| chol.reduce | Incomplete Cholesky decomposition |
| coeff | Class "ksvm" |
| coeff,ksvm-method | Support Vector Machines |
| convergence | Class "ranking" |
| convergence,ranking-method | Class "ranking" |
| couple | Probabilities Coupling function |
| cross | Class "ksvm" |
| cross,gausspr-method | Class "gausspr" |
| cross,ksvm-method | Class "ksvm" |
| cross,rvm-method | Class "rvm" |
| diag.residues | Class "inc.chol" |
| diag.residues,inc.chol-method | Class "inc.chol" |
| dots | Kernel Functions |
| dual | Class "ipop" |
| dual,ipop-method | Class "ipop" |
| edgegraph | Class "ranking" |
| edgegraph,ranking-method | Class "ranking" |
| eig | Class "kpca" |
| eig,kpca-method | Class "kpca" |
| error | Class "ksvm" |
| error,gausspr-method | Class "gausspr" |
| error,ksvm-method | Class "ksvm" |
| error,rvm-method | Class "rvm" |
| fit | Class "ksvm" |
| fit,gausspr-method | Class "gausspr" |
| fit,ksvm-method | Class "ksvm" |
| fit,rvm-method | Class "rvm" |
| 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" |
| how | Class "ipop" |
| how,ipop-method | Class "ipop" |
| inc.chol-class | Class "inc.chol" |
| income | Income Data |
| ipop | Quadratic Programming Solver |
| ipop,ANY,matrix-method | Quadratic Programming Solver |
| ipop-class | Class "ipop" |
| kcall | Class "ksvm" |
| kcall,gausspr-method | Class "gausspr" |
| kcall,kpca-method | Class "kpca" |
| kcall,ksvm-method | Class "ksvm" |
| kcall,rvm-method | Class "rvm" |
| 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 "ksvm" |
| kernelf,gausspr-method | Class "gausspr" |
| kernelf,kpca-method | Class "kpca" |
| kernelf,ksvm-method | Class "ksvm" |
| kernelf,rvm-method | Class "rvm" |
| kernelf,specc-method | Class "specc" |
| kernelMatrix | Kernel Matrix functions |
| kernelMatrix,anovakernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,besselkernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,kernel-method | Kernel Matrix functions |
| kernelMatrix,laplacekernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,polykernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,rbfkernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,tanhkernel,matrix-method | Kernel Matrix functions |
| kernelMatrix,vanillakernel,matrix-method | Kernel Matrix functions |
| kernelMult | Kernel Matrix functions |
| kernelMult,anovakernel,matrix-method | Kernel Matrix functions |
| kernelMult,besselkernel,matrix-method | Kernel Matrix functions |
| kernelMult,kernel-method | Kernel Matrix functions |
| kernelMult,laplacekernel,matrix-method | Kernel Matrix functions |
| kernelMult,polykernel,matrix-method | Kernel Matrix functions |
| kernelMult,rbfkernel,matrix-method | Kernel Matrix functions |
| kernelMult,tanhkernel,matrix-method | Kernel Matrix functions |
| kernelMult,vanillakernel,matrix-method | Kernel Matrix functions |
| kernelPol | Kernel Matrix functions |
| kernelPol,anovakernel,matrix-method | Kernel Matrix functions |
| kernelPol,besselkernel,matrix-method | Kernel Matrix functions |
| kernelPol,kernel-method | Kernel Matrix functions |
| kernelPol,laplacekernel,matrix-method | Kernel Matrix functions |
| kernelPol,polykernel,matrix-method | Kernel Matrix functions |
| kernelPol,rbfkernel,matrix-method | Kernel Matrix functions |
| kernelPol,tanhkernel,matrix-method | Kernel Matrix functions |
| kernelPol,vanillakernel,matrix-method | Kernel Matrix functions |
| kpar | Kernel Functions |
| kpar,gausspr-method | Class "gausspr" |
| kpar,kernel-method | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| kpar,ksvm-method | Class "ksvm" |
| kpar,rvm-method | Class "rvm" |
| kpca | Kernel Principal Components Analysis |
| kpca,formula-method | Kernel Principal Components Analysis |
| kpca,matrix-method | Kernel Principal Components Analysis |
| kpca-class | Class "kpca" |
| ksvm | Support Vector Machines |
| ksvm,formula-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 "ksvm" |
| lev,gausspr-method | Class "gausspr" |
| lev,ksvm-method | Class "ksvm" |
| lev,rvm-method | Class "rvm" |
| maxresiduals | Class "inc.chol" |
| maxresiduals,inc.chol-method | Class "inc.chol" |
| mlike | Class "rvm" |
| mlike,rvm-method | Class "rvm" |
| nvar | Class "rvm" |
| nvar,rvm-method | Class "rvm" |
| pcv | Class "kpca" |
| pcv,kpca-method | Class "kpca" |
| pivots | Class "inc.chol" |
| pivots,inc.chol-method | Class "inc.chol" |
| polydot | Kernel Functions |
| polykernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| predict,gausspr-method | Gaussian processes for regression and classification |
| predict,kpca-method | Kernel Principal Components Analysis |
| predict,ksvm-method | predict method for support vector object |
| predict,rvm-method | Relevance Vector Machine |
| 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" |
| ranking | Ranking |
| ranking,matrix-method | Ranking |
| ranking-class | Class "ranking" |
| rbfdot | Kernel Functions |
| rbfkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| 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,matrix-method | Relevance Vector Machine |
| rvm,vector-method | Relevance Vector Machine |
| rvm-class | Class "rvm" |
| rvm-methods | Relevance Vector Machine |
| scaling | Class "ksvm" |
| scaling,ksvm-method | Class "ksvm" |
| show | Class "ksvm" |
| show,gausspr-method | Gaussian processes for regression and classification |
| show,kernel-method | Kernel Functions |
| show,ksvm-method | Support Vector Machines |
| 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,matrix-method | Spectral Clustering |
| specc-class | Class "specc" |
| spirals | Spirals Dataset |
| SVindex | Class "ksvm" |
| SVindex,ksvm-method | Class "ksvm" |
| tanhdot | Kernel Functions |
| tanhkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| ticdata | The Insurance Company Data |
| type | Class "ksvm" |
| type,gausspr-method | Class "gausspr" |
| type,ksvm-method | Class "ksvm" |
| type,rvm-method | Class "rvm" |
| vanilladot | Kernel Functions |
| vanillakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
| withinss | Class "specc" |
| withinss,specc-method | Class "specc" |
| xcoef | Class "kcca" |
| xcoef,kcca-method | Class "kcca" |
| xmatrix | Class "ksvm" |
| xmatrix,gausspr-method | Class "gausspr" |
| xmatrix,kpca-method | Class "kpca" |
| xmatrix,ksvm-method | Class "ksvm" |
| xmatrix,rvm-method | Class "rvm" |
| xvar | Class "kcca" |
| xvar,kcca-method | Class "kcca" |
| ycoef | Class "kcca" |
| ycoef,kcca-method | Class "kcca" |
| ymatrix | Class "ksvm" |
| ymatrix,gausspr-method | Class "gausspr" |
| ymatrix,ksvm-method | Class "ksvm" |
| ymatrix,rvm-method | Class "rvm" |
| yvar | Class "kcca" |
| yvar,kcca-method | Class "kcca" |