R Graphical Manual

Last data update: 2014.03.03

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Classification

Results 1 - 10 of 47 found.
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rvm-class (Package: kernlab) : Class "rvm"

Relevance Vector Machine Class

● Data Source: CranContrib
● Keywords: classes
● Alias: RVindex, RVindex,rvm-method, 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, rvm-class, type,rvm-method, xmatrix,rvm-method, ymatrix,rvm-method
● 0 images

onlearn (Package: kernlab) : Kernel Online Learning algorithms

Online Kernel-based Learning algorithms for classification, novelty detection, and regression.

● Data Source: CranContrib
● Keywords: classif, neural, regression, ts
● Alias: onlearn, onlearn,onlearn-method
● 0 images

kqr (Package: kernlab) : Kernel Quantile Regression.

The Kernel Quantile Regression algorithm kqr performs non-parametric Quantile Regression.

● Data Source: CranContrib
● Keywords: methods, nonlinear, regression
● Alias: coef,kqr-method, kqr, kqr,formula-method, kqr,kernelMatrix-method, kqr,list-method, kqr,matrix-method, kqr,vector-method, show,kqr-method
● 0 images

couple (Package: kernlab) : Probabilities Coupling function

couple is used to link class-probability estimates produced by pairwise coupling in multi-class classification problems.

● Data Source: CranContrib
● Keywords: classif
● Alias: couple
● 0 images

kpca (Package: kernlab) : Kernel Principal Components Analysis

Kernel Principal Components Analysis is a nonlinear form of principal component analysis.

● Data Source: CranContrib
● Keywords: cluster
● Alias: kpca, kpca,formula-method, kpca,kernelMatrix-method, kpca,list-method, kpca,matrix-method, predict,kpca-method
● 0 images

predict.gausspr (Package: kernlab) : predict method for Gaussian Processes object

Prediction of test data using Gaussian Processes

● Data Source: CranContrib
● Keywords: classif, methods, regression
● Alias: predict,gausspr-method, predict.gausspr
● 0 images

kqr-class (Package: kernlab) : Class "kqr"

The Kernel Quantile Regression object class

● Data Source: CranContrib
● Keywords: classes
● Alias: 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
● 0 images

kfa-class (Package: kernlab) : Class "kfa"

The class of the object returned by the Kernel Feature Analysis kfa function

● Data Source: CranContrib
● Keywords: classes
● Alias: alpha,kfa-method, alphaindex,kfa-method, kcall,kfa-method, kernelf,kfa-method, kfa-class, predict,kfa-method, xmatrix,kfa-method
● 0 images

kmmd (Package: kernlab) : Kernel Maximum Mean Discrepancy.

The Kernel Maximum Mean Discrepancy kmmd performs a non-parametric distribution test.

● Data Source: CranContrib
● Keywords: htest, nonlinear, nonparametric
● Alias: Asymbound, AsympH0, H0, Radbound, kmmd, kmmd,kernelMatrix-method, kmmd,list-method, kmmd,matrix-method, mmdstats, show,kmmd-method
● 0 images

as.kernelMatrix (Package: kernlab) : Assing kernelMatrix class to matrix objects

as.kernelMatrix in package kernlab can be used to coerce the kernelMatrix class to matrix objects representing a kernel matrix. These matrices can then be used with the kernelMatrix interfaces which most of the functions in kernlab support.

● Data Source: CranContrib
● Keywords: methods
● Alias: as.kernelMatrix, as.kernelMatrix,matrix-method, as.kernelMatrix-methods, kernelMatrix-class
● 0 images