d1: Get Integerodifferential Quantities
In activegp: Gaussian Process Based Design and Analysis for the Active Subspace Method
d1 R Documentation
Get Integerodifferential Quantities
Description
Returns an element related to an integral of a derivative of the desired kernel. See references for details.
Usage
d1(X, x, sigma, type)
Arguments
X
The design matrix
x
The point at which to evaluate.
The
error variance of the model.
A
string, one of "Gaussian", "Matern5_2", and "Matern3_2" indicating the covariance kernel to use.
Value
The scalar value given the integrated derivative.
References
Mickael Binois, Robert B. Gramacy, Michael Ludkovski (2017), Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments, Journal of Computational and Graphical Statistics
activegp documentation built on June 28, 2022, 1:05 a.m.
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| d1 | R Documentation |
Get Integerodifferential Quantities
Description
Returns an element related to an integral of a derivative of the desired kernel. See references for details.
Usage
d1(X, x, sigma, type)
Arguments
X |
The design matrix |
x |
The point at which to evaluate. |
The |
error variance of the model. |
A |
string, one of "Gaussian", "Matern5_2", and "Matern3_2" indicating the covariance kernel to use. |
Value
The scalar value given the integrated derivative.
References
Mickael Binois, Robert B. Gramacy, Michael Ludkovski (2017), Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments, Journal of Computational and Graphical Statistics
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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