radial_kernel_mat: Gaussian Kernel Matrix
In herglola/SVHM: Support-Vector-Hazard-Machine
radial_kernel_mat R Documentation
Gaussian Kernel Matrix
Description
calculates the gaussian kernel value of the covariates with each other. calculated matrix will be symmetric
Usage
radial_kernel_mat(covariates, gamma_squared)
Arguments
covariates
dataset of covariates of the subjects in a dataset
gamma_squared
width of the kernel
Value
gaussian kernel matrix
Examples
{
# Example with the preloaded mtcars dataset
covariates <- subset( mtcars, select = c('drat', 'wt') )
SVHM:::radial_kernel_mat(covariates,.5)
}
herglola/SVHM documentation built on March 24, 2022, 12:44 p.m.
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| radial_kernel_mat | R Documentation |
Gaussian Kernel Matrix
Description
calculates the gaussian kernel value of the covariates with each other. calculated matrix will be symmetric
Usage
radial_kernel_mat(covariates, gamma_squared)
Arguments
covariates |
dataset of covariates of the subjects in a dataset |
gamma_squared |
width of the kernel |
Value
gaussian kernel matrix
Examples
{
# Example with the preloaded mtcars dataset
covariates <- subset( mtcars, select = c('drat', 'wt') )
SVHM:::radial_kernel_mat(covariates,.5)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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