FourierKernel: Kernel matrix for Fourier basis
In USP: U-Statistic Permutation Tests of Independence for all Data Types
Description
Usage
Arguments
Value
References
Examples
View source: R/FourierKernel.R
Description
Calculates the kernel matrix, described in \insertCiteBKS2020USP for
univariate continuous data when using the Fourier basis.
This function is used in USPFourier.
Usage
1
FourierKernel(x, M)
Arguments
x
A vector in [0,1]^n for some n, containing the observations.
M
The maximum frequency of Fourier basis functions to compute.
Value
The kernel matrix K, to be used in independence testing.
References
\insertRefBKS2020USP
Examples
1
2
n=10; x=runif(n)
FourierKernel(x,5)
USP documentation built on Jan. 27, 2021, 5:08 p.m.
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Description Usage Arguments Value References Examples
View source: R/FourierKernel.R
Description
Calculates the kernel matrix, described in \insertCiteBKS2020USP for univariate continuous data when using the Fourier basis. This function is used in USPFourier.
Usage
1 | FourierKernel(x, M)
|
Arguments
x |
A vector in [0,1]^n for some n, containing the observations. |
M |
The maximum frequency of Fourier basis functions to compute. |
Value
The kernel matrix K, to be used in independence testing.
References
\insertRefBKS2020USP
Examples
1 2 | n=10; x=runif(n)
FourierKernel(x,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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