Epa.kernel: Epanechnikov kernel function
In extremefit: Estimation of Extreme Conditional Quantiles and Probabilities
Description
Usage
Arguments
Details
Examples
Description
Epanechnikov kernel function.
Usage
1
Epa.kernel(x)
Arguments
x
vector.
Details
Epanechnikov kernel:
K(x) = 3/4 ( 1 - x^2 ) (abs(x)<=1)
We recommend a critical value of 6.1 for this kernel function.
Examples
1
plot(function(x) Epa.kernel(x), -2, 2, ylab = "Epanechnikov kernel function")
extremefit documentation built on May 6, 2019, 1:10 a.m.
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.
Description Usage Arguments Details Examples
Description
Epanechnikov kernel function.
Usage
1 | Epa.kernel(x)
|
Arguments
x |
vector. |
Details
Epanechnikov kernel:
K(x) = 3/4 ( 1 - x^2 ) (abs(x)<=1)
We recommend a critical value of 6.1 for this kernel function.
Examples
1 | plot(function(x) Epa.kernel(x), -2, 2, ylab = "Epanechnikov kernel function")
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.