corr_mat {LVGP} | R Documentation |
The Function for Constructing the Correlation Matrix in LVGP
Package
Description
Builds the correlation matrix given two datasets, and the type and parameters of the correlation function.
Usage
corr_mat(X1, X2, phi_full)
Arguments
X1 , X2 |
Matrices containing the data points. The rows and columns of both |
phi_full |
The vector storing all the scale (aka roughness) parameters of the correlation function. See |
Value
R The Correlation matrix with size nrow(X1)
-by-nrow(X2)
. See here.
Note
This function is NOT exported once the LVGP package is loaded.
References
"A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors", Yichi Zhang, Siyu Tao, Wei Chen, and Daniel W. Apley (arXiv)
See Also
LVGP_fit
to see how a GP model can be fitted to a training dataset.
LVGP_predict
to use the fitted LVGP model for prediction.
LVGP_plot
to plot the features of the fitted model.
Examples
# see the examples in the documentation of the function LVGP_fit.