W_kappa_lk: Covariance of kernel computations
In activegp: Gaussian Process Based Design and Analysis for the Active Subspace Method
W_kappa_lk R Documentation
Covariance of kernel computations
Description
Creates a submatrix of the same tensor as W_kappa_ij, but this time l,k give the indices of the observations, not variables.
Usage
W_kappa_lk(design, theta, i1, i2, ct)
Arguments
design
matrix of design points
theta
lengthscales
i1, i2
index of the observations (WARNING: starts at 0)
ct
Covariance type, 1 means Gaussian, 2 means Matern 3/2, 3 means Matern 5/2
Value
The matrix representing the result of the integration.
activegp documentation built on June 28, 2022, 1:05 a.m.
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| W_kappa_lk | R Documentation |
Covariance of kernel computations
Description
Creates a submatrix of the same tensor as W_kappa_ij, but this time l,k give the indices of the observations, not variables.
Usage
W_kappa_lk(design, theta, i1, i2, ct)
Arguments
design |
matrix of design points |
theta |
lengthscales |
i1, i2 |
index of the observations (WARNING: starts at 0) |
ct |
Covariance type, 1 means Gaussian, 2 means Matern 3/2, 3 means Matern 5/2 |
Value
The matrix representing the result of the integration.
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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