polynomial_kernel: Polynomial kernel
In KRIG: Spatial Statistic with Kriging
Description
Usage
Arguments
Value
Author(s)
Description
Anisotropic kernel defined like a polynomial in the scalar product.
Usage
1
polynomial_kernel(x, y, alpha, beta, n)
Arguments
x
first column vector.
y
second column vector.
alpha
amplitude parameter.
beta
displacement parameter.
n
power parameter.
Value
Real value.
Author(s)
Pedro Guarderas pedro.felipe.guarderas@gmail.com.
N<-10
x<-matrix( runif( N ), N, 1 )
y<-matrix( runif( N ), N, 1 )
alpha<-0.5
beta<-2
n<-3
polynomial_kernel( x, y, alpha, beta, n )
KRIG documentation built on May 2, 2019, 5:55 a.m.
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Description Usage Arguments Value Author(s)
Description
Anisotropic kernel defined like a polynomial in the scalar product.
Usage
1 | polynomial_kernel(x, y, alpha, beta, n)
|
Arguments
x |
first column vector. |
y |
second column vector. |
alpha |
amplitude parameter. |
beta |
displacement parameter. |
n |
power parameter. |
Value
Real value.
Author(s)
Pedro Guarderas pedro.felipe.guarderas@gmail.com. N<-10 x<-matrix( runif( N ), N, 1 ) y<-matrix( runif( N ), N, 1 ) alpha<-0.5 beta<-2 n<-3 polynomial_kernel( x, y, alpha, beta, n )
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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