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useDynLib("kernlab", .registration = TRUE)
import("methods")
importFrom("stats", "coef", "delete.response", "fitted", "kmeans",
"median", "model.extract", "model.matrix", "na.action",
"na.omit", "predict", "quantile", "rnorm", "runif", "sd",
"terms", "var")
importFrom("graphics", "axis", "filled.contour", "plot", "points", "title")
importFrom("grDevices", "hcl")
export(
## kernel functions
"rbfdot",
"laplacedot",
"besseldot",
"polydot",
"tanhdot",
"vanilladot",
"anovadot",
"splinedot",
"stringdot",
"kernelMatrix",
"kernelMult",
"kernelPol",
"kernelFast",
"as.kernelMatrix",
## High level functions
"kmmd",
"kpca",
"kcca",
"kha",
"specc",
"kkmeans",
"ksvm",
"rvm",
"gausspr",
"ranking",
"csi",
"lssvm",
"kqr",
## Utility functions
"ipop",
"inchol",
"couple",
"sigest",
## Accessor functions
## VM
"type",
"prior",
"alpha",
"alphaindex",
"kernelf",
"kpar",
"param",
"scaling",
"xmatrix",
"ymatrix",
"lev",
"kcall",
"error",
"cross",
"SVindex",
"nSV",
"RVindex",
"prob.model",
"b",
"obj",
## kpca
"rotated",
"eig",
"pcv",
## ipop
"primal",
"dual",
"how",
## kcca
"kcor",
"xcoef",
"ycoef",
## "xvar",
## "yvar",
## specc
"size",
"centers",
"withinss",
## rvm
"mlike",
"nvar",
## ranking
"convergence",
"edgegraph",
## onlearn
"onlearn",
"inlearn",
"buffer",
"rho",
## kfa
"kfa",
## inc.chol
"pivots",
"diagresidues",
"maxresiduals",
## csi
"R",
"Q",
"truegain",
"predgain",
## kmmd
"H0",
"AsympH0",
"Radbound",
"Asymbound",
"mmdstats"
)
exportMethods("coef", "fitted", "plot", "predict", "show")
exportClasses("ksvm", "kmmd", "rvm", "ipop", "gausspr", "lssvm", "kpca", "kha",
"kcca", "kernel", "rbfkernel", "laplacekernel",
"besselkernel", "tanhkernel", "polykernel","fourierkernel",
"vanillakernel", "anovakernel", "splinekernel",
"stringkernel", "specc", "ranking", "inchol", "onlearn",
"kfa", "csi","kqr",
"kernelMatrix","kfunction")
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