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R: Epanechnikov kernel and pdf kernel estimate
Kernels {HQM} R Documentation Epanechnikov kernel and pdf kernel estimate Description Implements the Epanechnikov kernel function and the standard kernel function estimate. Usage Epan(x) K_b(b,x,y, K)...
/CRAN/refmans/HQM/html/Kernels.html
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R: List of kernel parts included in the kernel semi parametric...
kernel.list {KSPM} R Documentation List of kernel parts included in the kernel semi parametric model Description internal method for listing all kernel parts included in the model Usage kernel.list...
/CRAN/refmans/KSPM/html/kernel.list.html
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R: Kernel constants
...kernel.constants(kernel = "biweight", d = 1, product = TRUE) Arguments kernel text string, see kernel.function d integer (dimension of the kernel) product (if d>1) product or spherical kernel Details...
/CRAN/refmans/gplm/html/kernel.constants.html
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R: 'Kernel'
...Kernel taken in the argument. kernmat [matrix(1)] New kernel matrix. Value [Kernel(1)] Object of class Kernel with elements: Type type of kernel, Mat kernel matrix, Kernpar parameters of kernel, when...
/CRAN/refmans/survivalsvm/html/setMat.Kernel.html
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R: 'Kernel'
...kern [Kernel(1)] Object of class Kernel taken in the argument. kernpar [vector(1)] New kernel parameters. Value [Kernel(1)] Object of class Kernel with elements: Type Type of kernel, Mat Kernel matrix...
/CRAN/refmans/survivalsvm/html/setKernpar.Kernel.html
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R: 'Kernel'
...kern [Kernel(1)] Object of class Kernel taken in the argument. bincat [vector(1)] New index of binary/categorial variables. Value [Kernel(1)] Object of class Kernel with elements: Type type of kernel...
/CRAN/refmans/survivalsvm/html/setBincat.Kernel.html
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R: Operator overloading for kernel multiplication
...Operator overloading for kernel multiplication Usage ## S3 method for class 'Kernel' k1 * k2 Arguments k1 Kernel: The left kernel to use for composition k2 Kernel: The right kernel to use for...
/CRAN/refmans/BKTR/html/times-.Kernel.html
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R: Operator overloading for kernel addition
...Operator overloading for kernel addition Usage ## S3 method for class 'Kernel' k1 + k2 Arguments k1 Kernel: The left kernel to use for composition k2 Kernel: The right kernel to use for composition...
/CRAN/refmans/BKTR/html/plus-.Kernel.html
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R: 'Kernel'
..."poly_kernel". Mat [matrix(1)] Kernel matrix. Kernpar [vector(1)] Kernel parameters, when required. bincat [vector(1)] Index of binary/categorical variables. Value [Kernel(1)] Object of class Kernel, ...
/CRAN/refmans/survivalsvm/html/Kernel.html
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R: Rectangular kernel function
...kernel function Rectangular Kernel K(x) = 1 (abs(x) <= 1) We recommend a critical value of 10 for this kernel. Examples plot(function(x) Rectangular.kernel(x), -2, 2, main = " Rectangular kernel...
/CRAN/refmans/extremefit/html/Rectangular.kernel.html
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R: Truncated Gaussian kernel function
...Truncated Gaussian kernel function Usage TruncGauss.kernel(x, sigma = 1) Arguments x a vector. sigma the standard deviation of the truncated gaussian kernel. Details Truncated Gaussian Kernel...
/CRAN/refmans/extremefit/html/TruncGauss.kernel.html
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R: Quartic kernel function
...of kernel represents similarity from origin. The function returns a vector whose length is same as vec. Value vector. Author(s) Jongmin Lee See Also Kernel.Gaussian, Kernel.indicator. Examples Kernel...
/CRAN/refmans/spherepc/html/Kernel.quartic.html
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R: Indicator kernel function
...of kernel represents similarity from origin. The function returns a vector whose length is same as vec. Value vector. Author(s) Jongmin Lee See Also Kernel.Gaussian, Kernel.quartic. Examples Kernel...
/CRAN/refmans/spherepc/html/Kernel.indicator.html
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R: Gaussian kernel function
...kernel represents the similarity from origin. The function returns a vector whose length is same as vec. Value vector. Author(s) Jongmin Lee See Also Kernel.indicator, Kernel.quartic. Examples Kernel...
/CRAN/refmans/spherepc/html/Kernel.Gaussian.html
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R: Kernels
linear_kernel {NORMA} R Documentation Kernels Description linear_kernel computes the linear kernel between two given vector, x and y. gaussian_kernel computes the gaussian kernel between two given...
/CRAN/refmans/NORMA/html/linear_kernel.html
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R: Gaussian Kernel
...Kernel of specified size and sigma Usage gaussian.kernel(sigma = 2, s = 5) Arguments sigma sigma (standard deviation) of kernel (defaults 2) s scale defining the number of rows and columns for kernel...
/CRAN/refmans/spatialEco/html/gaussian.kernel.html
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R: Wheat kernel data
...kernel compactness Compactness (C = 4*pi*A/P^2) length Length of the kernel width Width of the kernel asymmetry Asymmetry coefficient groove Length of the groove of the kernel variety Variety (1=Kama...
/CRAN/refmans/Correlplot/html/Kernels.html
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R: Kernel functions
Kernels {L2DensityGoFtest} R Documentation Kernel functions Description Implements various kernel functions, including boundary, integrated and discrete kernels for use in the definition...
/CRAN/refmans/L2DensityGoFtest/html/Kernels.html
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R: Create a Kernel object
Kernel {neuroim} R Documentation Create a Kernel object Description Create a Kernel object Usage Kernel(kerndim, vdim, FUN = dnorm, ...) Arguments kerndim the dimensions in voxels of the kernel vdim...
/CRAN/refmans/neuroim/html/Kernel.html
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R: Triangular kernel function
Triang.kernel {extremefit} R Documentation Triangular kernel function Description Triangular kernel function Usage Triang.kernel(x) Arguments x a vector. Details Triangular Kernel K(x) = ( 1 - abs(x)...
/CRAN/refmans/extremefit/html/Triang.kernel.html
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R: Epanechnikov kernel function
Epa.kernel {extremefit} R Documentation Epanechnikov kernel function Description Epanechnikov kernel function. Usage Epa.kernel(x) Arguments x vector. Details Epanechnikov kernel: K(x) = 3/4 ( 1 - x^2...
/CRAN/refmans/extremefit/html/Epa.kernel.html
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R: Biweight kernel function
Biweight.kernel {extremefit} R Documentation Biweight kernel function Description Biweight kernel function. Usage Biweight.kernel(x) Arguments x a vector. Details Biweight kernel: K(x) = 15/16 ( 1 - x...
/CRAN/refmans/extremefit/html/Biweight.kernel.html
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R: Gaussian kernel function
...kernel {extremefit} R Documentation Gaussian kernel function Description Gaussian kernel function Usage Gaussian.kernel(x) Arguments x a vector. Details Gaussian Kernel with the value of standard...
/CRAN/refmans/extremefit/html/Gaussian.kernel.html
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R: Compute the kernel matrix for ROC-SVM path
...poly.kernel(x, y = x, param.kernel = 1, ...) Arguments x An n x p matrix of features y An m x p matrix of features param.kernel The parameter(s) for the kernel. For the radial kernel, the parameter...
/CRAN/refmans/rocsvm.path/html/poly.kernel.html
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R: Example network-based kernel matrix for pathway hsa04020.
...data(net.kernel.hsa04020) Format An object of class kernel and type 'network' for the pathway hsa04020. type specifies which kernel function was used to calculate the kernel kernel includes the kernel...
/CRAN/refmans/kangar00/html/net.kernel.hsa04020.html
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R: Compute the kernel matrix for ROC-SVM path
...kernel(x, y = x, param.kernel = 1/p, ...) Arguments x An n x p matrix of features y An m x p matrix of features param.kernel The parameter(s) for the kernel. For this radial kernel, the parameter...
/CRAN/refmans/rocsvm.path/html/radial.kernel.html
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R: kernel.function
...kernel.function(u, kernel = "normal", product = TRUE) Arguments u n x d matrix kernel text string product or spherical kernel if d>1 Details slightly modified version of the kernel.function from the...
/CRAN/refmans/PResiduals/html/kernel.function.html
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R: Kernel function
...triweight, gaussian). Usage kernel.function(u, kernel = "biweight", product = TRUE) Arguments u n x d matrix kernel text string product (if d>1) product or spherical kernel Details The kernel...
/CRAN/refmans/gplm/html/kernel.function.html
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R: some internal methods in computation of kernel semi...
...computes.Kernel(x, ind, nameKernel, not.missing = NULL) computes.Kernel.interaction(x, ind, nameKernel, not.missing = NULL) computes.KernelALL(kernelList, not.missing = NULL) renames.Kernel...
/CRAN/refmans/KSPM/html/kernel.method.html
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R: Class 'Kernel'
...Class Kernel holds information regarding the decision function kernel Slots model An formula. Defines the covariates of the kernel. X A matrix. The covariates of the kernel kparam ANY. The kernel...
/CRAN/refmans/DynTxRegime/html/Kernel-class.html
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R: performs kernel smoothing using a bandwidth. Besides using a...
...kernel there is also the option to combine kernels Description performs kernel smoothing using a bandwidth. Besides using a kernel there is also the option to combine kernels Usage FUN_kernels(kernel...
/CRAN/refmans/KernelKnn/html/FUN_kernels.html
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R: 'Kernel'
...Kernel taken in an argument. Usage ## S3 method for class 'Kernel' getType(kern) Arguments kern [Kernel(1)] Object of class Kernel. Value Type of the kernel taken in the argument. Author(s) Cesaire J.
/CRAN/refmans/survivalsvm/html/getType.Kernel.html
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R: 'Kernel'
...Kernel taken in an argument. Usage ## S3 method for class 'Kernel' getKernpar(kern) Arguments kern [Kernel(1)] Object of class Kernel. Value [vector(1)] The kernel parameters. Author(s) Cesaire J. K.
/CRAN/refmans/survivalsvm/html/getKernpar.Kernel.html
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R: 'Kernel'
...Kernel Description Accessor for the field Mat of the object of class Kernel taken in an argument. Usage ## S3 method for class 'Kernel' getMat(kern) Arguments kern [Kernel(1)] Object of class Kernel.
/CRAN/refmans/survivalsvm/html/getMat.Kernel.html
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R: Kernel Weight
...Gaussian kernel weights between rows of X1 and rows of X2. Usage kernel_weight(x1, x2, kernel = "gaussian", dist = "euclidean") Arguments x1 First data matrix x2 Second data matrix kernel The kernel...
/CRAN/refmans/orthoDr/html/kernel_weight.html
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R: Kernel
...kernel Slots width the width in voxels of the kernel weights the kernel weights voxels the relative voxel coordinates of the kernel coords the relative real coordinates of the kernel [Package neuroim...
/CRAN/refmans/neuroim/html/Kernel-class.html
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R: Distance-based kernel
kernel {CommKern} R Documentation Distance-based kernel Description Description of the distance-based kernel function Usage kernel(mat, rho) Arguments mat a distance-based matrix rho a bandwidth/...
/CRAN/refmans/CommKern/html/kernel.html
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R: Kernel functions
...Kernel functions Description Kernel functions for creating kernel based weights with st_kernel_weights() Usage kernels Format An object of class list of length 5. Details Supported kernels are below.
/CRAN/refmans/sfdep/html/kernels.html
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R: Mean kernels for stochastic models
...Mean kernels for stochastic models Description This function computes mean sub-kernels for stochastic parameter re-sampled and stochastic kernel re-sampled models. Usage mean_kernel(ipm) Arguments ipm...
/CRAN/refmans/ipmr/html/mean_kernel.html
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R: Nadaraya-Watson Kernel estimator
kernel.fit {npmlda} R Documentation Nadaraya-Watson Kernel estimator Description Nadaraya-Watson Kernel estimator Usage kernel.fit(Xint, Xvec, Yvec, bw, Kernel = "Ep", Wt = 1) Arguments Xint a vector...
/CRAN/refmans/npmlda/html/kernel.fit.html
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R: Compute Kernel Matrix
...Kernel Matrix Description Compute kernel matrix for each kernel term in the formula. Usage parse_kernel_terms(kern_effect_formula, kern_func, data, data_new = NULL) Arguments kern_effect_formula...
/CRAN/refmans/CVEK/html/parse_kernel_terms.html
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R: 'Kernel'
...Accessor for the field Bincat of the object of class Kernel taken in an argument. Usage ## S3 method for class 'Kernel' getBincat(kern) Arguments kern [Kernel(1)] Object of class Kernel. Value...
/CRAN/refmans/survivalsvm/html/getBincat.Kernel.html
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R: 'Kernel'
...Kernel Description Mutator of the field Type of the object of class Kernel taken in an argument. Usage ## S3 method for class 'Kernel' setType(kern, kerntype) Arguments kern [Kernel(1)] Object taken...
/CRAN/refmans/survivalsvm/html/setType.Kernel.html
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R: Kernels.
Kernels {locpol} R Documentation Kernels. Description Definition of common kernels used in local polynomial estimation. Usage CosK(x) EpaK(x) Epa2K(x) gaussK(x) Arguments x Numeric vector o...
/CRAN/refmans/locpol/html/Kernels.html
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R: Epanechnikov kernel
kernel {SCEM} R Documentation Epanechnikov kernel Description Calculates the value of the Epanechnikov kernel function for any vector. Usage kernel(v) Arguments v A vector of real numbers.
/CRAN/refmans/SCEM/html/kernel.html
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R: Kernel product
...Kernel product Description Kernel product Usage ## S3 method for class 'GauPro_kernel' k1 * k2 Arguments k1 First kernel k2 Second kernel Value Kernel which is product of two kernels Examples k1...
/CRAN/refmans/GauPro/html/times-.GauPro_kernel.html
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R: Kernel sum
...Kernel sum Description Kernel sum Usage ## S3 method for class 'GauPro_kernel' k1 + k2 Arguments k1 First kernel k2 Second kernel Value Kernel which is sum of two kernels Examples k1 <- Exponential$...
/CRAN/refmans/GauPro/html/plus-.GauPro_kernel.html
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R: Gaussian kernel
...kernel Description Evaluates the Gaussian kernel Usage kernel.g(u) Arguments u vector of observations Value evaluation of the Gaussian kernel Examples x = rnorm(100,1,2) kernel.g(x) [Package OVL.CI...
/CRAN/refmans/OVL.CI/html/kernel.g.html
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R: Epanechnikov kernel
...Epanechnikov kernel Description Evaluates the Epanechnikov kernel Usage kernel.e(u) Arguments u vector of observations Value evaluation of the Epanechnikov kernel Examples x = rnorm(100,1,2) kernel.e...
/CRAN/refmans/OVL.CI/html/kernel.e.html
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R: Calculate 2D dispersal kernel.
...{metaRange} R Documentation Calculate 2D dispersal kernel. Description Use a user defined function to create a 2D dispersal kernel. Usage calculate_dispersal_kernel(max_dispersal_dist, kfun, normalize...
/CRAN/refmans/metaRange/html/calculate_dispersal_kernel.html
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R: Integral of Squared Kernel
...integral of the squared kernel, for the kernels used in density estimation for numerical data. Usage kernel.squint(kernel = "gaussian", bw=1) Arguments kernel String name of the kernel. Options are...
/CRAN/refmans/spatstat.explore/html/kernel.squint.html
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R: Plot of r'th Derivative Kernel Function
plot.kernel.fun {kedd} R Documentation Plot of r'th Derivative Kernel Function Description The plot.kernel.fun function loops through calls to the kernel.fun function. Plot for r'th derivative kernel...
/CRAN/refmans/kedd/html/plot.kernel.fun.html
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R: Fill in missing kernel, start or support given the supplied...
...ones. It also handles inconsistencies, such as providing a support on (-Inf, Inf) but a kernel on (0, Inf). Usage get_kernel_start_support(kernel, start, support) Arguments kernel Supplied kernel...
/CRAN/refmans/kdensity/html/get_kernel_start_support.html
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R: Symmetric Smoothing Kernels.
...kernels:: normal, cosine, triweight, quartic and uniform. Usage Kernel(u, type.Ker = "Ker.norm") Arguments u Data. type.Ker Type of Kernel. By default normal kernel. Details Ker.norm=dnorm(u) Ker.cos...
/CRAN/refmans/fda.usc/html/Kernel.html
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R: Scale factor for density kernel
...kernel Description Returns a scale factor for the kernels used in density estimation for numerical data. Usage kernel.factor(kernel = "gaussian") Arguments kernel String name of the kernel. Options...
/CRAN/refmans/spatstat.explore/html/kernel.factor.html
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R: Show IDE kernel
...which to scale the arrows when visualising a spatially-varying kernel Details The function show_kernel adapts its behaviour to the type of kernel. If the kernel is spatially-invariant, then the kernel...
/CRAN/refmans/IDE/html/show_kernel.html
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R: Mathematical morphology kernels
...kernels Description Mathematical morphology kernels Usage kernel_3d(image) kernel_2d(image) kernel_box(image, width, voxels = FALSE) kernel_gauss(image, sigma) kernel_sphere(image, radius) kernel_file...
/CRAN/refmans/imbibe/html/kernels.html
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R: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...
kernel-class {KERE} R Documentation Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" Description The built-in kernel classes in KERE Objects from the Class Objects can be created...
/CRAN/refmans/KERE/html/kernel-class.html
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R: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...
kernel-class {ktweedie} R Documentation Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" Description The built-in kernel classes in KERE Objects from the Class Objects can be...
/CRAN/refmans/ktweedie/html/kernel-class.html
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R: Kernel Principal Components Analysis
...Kernel Principal Components Analysis Description Performs a kernel PCA. Usage kernel.pca(K, ncomp = nrow(K$kernel)) Arguments K a kernel object obtained using either compute.kernel or combine.kernels.
/CRAN/refmans/mixKernel/html/kernel.pca.html
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R: Kernel of a matrix
...Kernel of a matrix Description Kernel (null-space) of a real or complex matrix. Usage Eigen_kernel(M, method = "COD") Arguments M a matrix, real or complex method one of "COD" or "LU"; the faster...
/CRAN/refmans/EigenR/html/Eigen_kernel.html
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R: Calculating Ensemble Kernel Matrix
...Kernel Matrix Description Calculating ensemble kernel matrix and truncating those columns whose eigenvalues are smaller than the given threshold. Usage ensemble_kernel_matrix(A_est, eig_thres = 1e-11)...
/CRAN/refmans/CVEK/html/ensemble_kernel_matrix.html
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R: Variance Component Linear Kernel Matrix
...kernel; currently only linear kernel implemented Value square symmetric kernel matrix for subject similarity by genotype dosage Author(s) JP Sinnwell, DJ Schaid See Also vcpen Examples data(vcexample)...
/CRAN/refmans/vcpen/html/kernel_linear.html
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R: SVM kernel
...kernel needed for SVM Usage get_kernel(kernel_transformation, sigma, columns) Arguments kernel_transformation Data matrix used to transform EDA features into kernel values sigma The inverse kernel...
/CRAN/refmans/wearables/html/get_kernel.html
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R: Competition kernels
...kernel {comsimitv} R Documentation Competition kernels Description User defined functions for calculating pairwise competition coefficients Arguments trait.values Values of trait related to resource...
/CRAN/refmans/comsimitv/html/competition.kernel.html
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R: Add a new kernel to 'kernels_environment'.
...kernel to kernels_environment. Description Add a new kernel to kernels_environment. Usage add_kernel(kernel_str, kernel) Arguments kernel_str A string giving the name of the density. kernel The kernel...
/CRAN/refmans/kdensity/html/add_kernel.html
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R: Gaussian kernel
kernel.function.gauss {cvmgof} R Documentation Gaussian kernel Description This function computes the Gaussian kernel used to estimate the conditional distribution function. Usage kernel.function.gauss...
/CRAN/refmans/cvmgof/html/kernel.function.gauss.html
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R: Quartic kernel
kernel.function.quart {cvmgof} R Documentation Quartic kernel Description This function computes the Quartic kernel used to estimate the conditional distribution function. Usage kernel.function.quart(u)...
/CRAN/refmans/cvmgof/html/kernel.function.quart.html
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R: Epanechnikov kernel
kernel.function.epan {cvmgof} R Documentation Epanechnikov kernel Description This function computes the Epanechnikov kernel used to estimate the conditional distribution function. Usage kernel...
/CRAN/refmans/cvmgof/html/kernel.function.epan.html
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R: Dirichlet Kernel
...Kernel Description Dirichlet Kernel Usage dirichlet_kernel(x, n, dw = FALSE) Arguments x variable evaluated by dirichlet kernel n size of Dirichlet kernel dw logical whether to add the Dirichlet...
/CRAN/refmans/swdft/html/dirichlet_kernel.html
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R: Kernel
...-axis. Each level of the kernel must have an uneven number of elements. Value Object of R6Class() representing a Kernel. See Also Array(), Integer(), EPSGCode(), String(), Number(), Date(), RasterCube(), ...
/CRAN/refmans/openeo/html/Kernel.html
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R: Gaussian kernel density estimation
kernel.g.density {OVL.CI} R Documentation Gaussian kernel density estimation Description Estimates the density function using the Gaussian kernel Usage kernel.g.density(data, points, h)...
/CRAN/refmans/OVL.CI/html/kernel.g.density.html
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R: Epanechnikov kernel density estimation
kernel.e.density {OVL.CI} R Documentation Epanechnikov kernel density estimation Description Estimates the density function using the Epanechnikov kernel Usage kernel.e.density(data, points, h)...
/CRAN/refmans/OVL.CI/html/kernel.e.density.html
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R: Integrate Smoothing Kernels.
...Type of integrate kernel: Integrate Normal Kernel: IKer.norm Integrate Cosine Kernel: IKer.cos Integrate Epanechnikov Kernel: IKer.epa Integrate Triweight Kernel: IKer.tri Integrate Quartic Kernel: ...
/CRAN/refmans/fda.usc/html/Kernel.integrate.html
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R: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...
kernel-class {kernlab} R Documentation Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" Description The built-in kernel classes in kernlab Objects from the Class Objects can be...
/CRAN/refmans/kernlab/html/kernel-class.html
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R: Plot for Convolutions of r'th Derivative Kernel Function
...plot.kernel.conv function loops through calls to the kernel.conv function. Plot for convolutions of r'th derivative kernel function one-dimensional. Usage ## S3 method for class 'kernel.conv' plot(x...
/CRAN/refmans/kedd/html/plot.kernel.conv.html
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R: Kernel R6 class
...Kernel R6 class Description Kernel R6 class Kernel R6 class Format R6Class object. Value Object of R6Class with methods for fitting GP model. Public fields D Number of input dimensions of data useC...
/CRAN/refmans/GauPro/html/GauPro_kernel.html
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R: Box predation kernel
...Box predation kernel Description A predation kernel where the predator/prey mass ratio is uniformly distributed on an interval. Usage box_pred_kernel(ppmr, ppmr_min, ppmr_max) Arguments ppmr A vector...
/CRAN/refmans/mizer/html/box_pred_kernel.html
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R: Kernel functions
Kernels {NPHazardRate} R Documentation Kernel functions Description Implements various kernel functions, including boundary, integrated and discrete kernels for use in the definition of the...
/CRAN/refmans/NPHazardRate/html/Kernels.html
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R: Create Kernel Matrix
...the kernel matrix from. Must be a single term that is either of the form x (a single linear term) or k(x1, x2, \dots) (a kernel term that may contain multiple variables). kern_func (function) A kernel...
/CRAN/refmans/CVEK/html/parse_kernel_variable.html
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R: Linear Kernel
lin_kernel {MagmaClustR} R Documentation Linear Kernel Description Linear Kernel Usage lin_kernel(x, y, hp, deriv = NULL, vectorized = FALSE) Arguments x A vector (or matrix if vectorized = T) of...
/CRAN/refmans/MagmaClustR/html/lin_kernel.html
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R: calls the specified kernel for som training.
...run.kernel {som.nn} R Documentation calls the specified kernel for som training. Description calls the specified kernel for som training. Usage som.nn.run.kernel(data, classes = "no classes", kernel...
/CRAN/refmans/som.nn/html/som.nn.run.kernel.html
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R: Asymmetric Smoothing Kernel
Kernel.asymmetric {fda.usc} R Documentation Asymmetric Smoothing Kernel Description Represent Asymmetric Smoothing Kernels: normal, cosine, triweight, quartic and uniform. AKer.norm=ifelse(u>=0,2*dnorm...
/CRAN/refmans/fda.usc/html/Kernel.asymmetric.html
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R: Periodic Kernel
perio_kernel {MagmaClustR} R Documentation Periodic Kernel Description Periodic Kernel Usage perio_kernel(x, y, hp, deriv = NULL, vectorized = FALSE) Arguments x A vector (or matrix if vectorized = T)...
/CRAN/refmans/MagmaClustR/html/perio_kernel.html
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R: compute the kernel matrix for svmpath
...compute the kernel matrix for svmpath Description compute the kernel matrix for svmpath Usage radial.kernel(x, y=x, param.kernel = 1/p,...) poly.kernel(x, y=x, param.kernel = 1,...) Arguments x an n x...
/CRAN/refmans/svmpath/html/radial.kernel.html
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R: The 'Kernel' class object
Kernel {KGode} R Documentation The 'Kernel' class object Description This a abstract class provide the kernel function and the 1st order derivative of rbf kernel function. Format R6Class object.
/CRAN/refmans/KGode/html/Kernel.html
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R: Squared Exponential Kernel
se_kernel {MagmaClustR} R Documentation Squared Exponential Kernel Description Squared Exponential Kernel Usage se_kernel(x, y, hp, deriv = NULL, vectorized = FALSE) Arguments x A vector (or matrix if...
/CRAN/refmans/MagmaClustR/html/se_kernel.html
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R: Gives the kernel name from the integer code
...name for the kernel. Allowed names are "normal", "gamma", "beta", "double exponential", "lognormal" or their common abbreviations "norm", "exp", or an integer number identifying the mixture kernel: 1...
/CRAN/refmans/BNPdensity/html/give_kernel_name.html
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R: kernel_pca: A kernel pca function
...A kernel pca function Description kernel_pca: A kernel pca function Usage kernel_pca(datam, labels = FALSE, axistextsize = 18, legendtextsize = 18, dotsize = 3, similarity = TRUE) Arguments datam...
/CRAN/refmans/Spectrum/html/kernel_pca.html
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R: Learner for kernel classification for functional data.
...kernel {mlr} R Documentation Learner for kernel classification for functional data. Description Learner for kernel Classification. Usage ## S3 method for class 'classif.fdausc.kernel' makeRLearner...
/CRAN/refmans/mlr/html/makeRLearner.classif.fdausc.kernel.html
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R: Kernel estimation
...of cumulative distribution function (cdf) by kernel estimators (with a non-gaussian kernel). Usage kernel_cdf(u, h) Arguments u the point at which the estimation is made. h window of the kernel...
/CRAN/refmans/admix/html/kernel_cdf.html
cran-help matching:
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R: Kernel estimation
...(pdf) by kernel estimators (with a non-gaussian kernel). Usage kernel_density(u, h) Arguments u the point at which the estimation is made. h window of the kernel estimation. Value the estimated value...
/CRAN/refmans/admix/html/kernel_density.html
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R: Helper function that gets a kernel function for kdensity.
...that gets a kernel function for kdensity. Usage get_kernel(kernel_str) Arguments kernel_str a string specifying which kernel to use. Value a kernel function of the format k(u) with integral normalized...
/CRAN/refmans/kdensity/html/get_kernel.html
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R: Kernel evaluation
kernel {ibr} R Documentation Kernel evaluation Description Evaluate the kernel function at x: Gaussian, Epanechnikov, Uniform, Quartic. This function is not intended to be used directly. Usage gaussien...
/CRAN/refmans/ibr/html/kernel.html
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R: calculated the gaussian kernel matrix
...gaussian kernel matrix Usage gaussian_kernel(x, gamma, x_test = NULL) Arguments x A d x n training data matrix gamma kernel parameter x_test A d x m testing data matrix Value k - A n x m kernel matrix...
/CRAN/refmans/RSSL/html/gaussian_kernel.html
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R: Kernel Evaluation function (Internal Function)
...kernel_eval(x, kernel_type) Arguments x evaluation point. kernel_type type of kernel function. Choose from "uniform", "triangular", "epanechnikov". Value kernel evaluated at x. [Package lpcde version...
/CRAN/refmans/lpcde/html/kernel_eval.html
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R: Daniell Kernel Function
...Daniell Kernel Function Description 'daniell_kernel' Computes the Daniell kernel function at a given point value. Usage daniell_kernel(x) Arguments x the point value at which the kernel function...
/CRAN/refmans/wwntests/html/daniell_kernel.html
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R: Parzen Kernel Function
...Parzen Kernel Function Description 'parzen_kernel' Computes the Parzen kernel function at a given point value. Usage parzen_kernel(x) Arguments x the point value at which the kernel function...
/CRAN/refmans/wwntests/html/parzen_kernel.html
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R: Bartlett Kernel Function
...Bartlett Kernel Function Description 'bartlett_kernel' Computes the Bartlett kernel function at a given point value. Usage bartlett_kernel(x) Arguments x the point value at which the kernel function...
/CRAN/refmans/wwntests/html/bartlett_kernel.html
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R: Select kernel function
...kernel function Description select the kernel function with its name. Usage select_kernel(name) Arguments name The name of the kernel to use Value A kernel function Examples #This is an internal...
/CRAN/refmans/spNetwork/html/select_kernel.html
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