Gaussian.kernel: Gaussian kernel function
In extremefit: Estimation of Extreme Conditional Quantiles and Probabilities
Description
Usage
Arguments
Details
Examples
Description
Gaussian kernel function
Usage
1
Arguments
x
a vector.
Details
Gaussian Kernel with the value of standard deviation equal to 1/3.
K(x) = (1/{(1/3)*sqrt(2 π)} exp(-(3*x)^2/2)) (abs(x) <= 1)
We recommend a critical value of 8.3 for this kernel.
Examples
1
2
plot(function(x) Gaussian.kernel(x), -2, 2,
main = " Gaussian kernel")
extremefit documentation built on May 6, 2019, 1:10 a.m.
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Description Usage Arguments Details Examples
Description
Gaussian kernel function
Usage
1 |
Arguments
x |
a vector. |
Details
Gaussian Kernel with the value of standard deviation equal to 1/3.
K(x) = (1/{(1/3)*sqrt(2 π)} exp(-(3*x)^2/2)) (abs(x) <= 1)
We recommend a critical value of 8.3 for this kernel.
Examples
1 2 | plot(function(x) Gaussian.kernel(x), -2, 2,
main = " Gaussian kernel")
|
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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