Description Usage Arguments Value References Examples
Function to produce the kernel matrices in the infinite dimensional example described in Section 7.4 of \insertCiteBKS2020USP. Here, a random function is converted to a sequence of coefficients and we use the Fourier basis on these coefficients. This function is an essential part of USPFunctional.
1 | InfKern(X, Ntrunc, M)
|
X |
Matrix giving one of the samples to be tested. Each row corresponds to a discretised function, with each column giving the values of the functions at the corresponding grid point. |
Ntrunc |
The total number of coefficients to look at in the basis expansion of the functional data. |
M |
The maximum frequency to look at in the Fourier basis. |
The kernel matrix for the sample X.
BKS2020USP
1 2 3 4 5 6 7 8 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.