covMat: Generic Function: Covariance or Cross-Covariance Matrix...

In kergp: Gaussian Process Laboratory

Generic Function: Covariance or Cross-Covariance Matrix Between two Sets of Locations

Description

Generic function returning a covariance or a cross-covariance matrix between two sets of locations.

Usage

covMat(object, X, Xnew, ...)

Arguments

object	Covariance kernel object.
X	A matrix with d columns, where d is the number of inputs of the covariance kernel. The n_1 rows define a first set of sites or locations, typically used for learning.
Xnew	A matrix with d columns, where d is the number of inputs of the covariance kernel. The n_2 rows define a second set of sites or locations, typically used for testing or prediction. If Xnew = NULL the same locations are used: Xnew = X.
...	Other arguments for methods.

Value

A rectangular matrix with nrow(X) rows and nrow(Xnew) columns containing the covariances K(\mathbf{x}_1, \mathbf{x}_2) for all the couples of sites \mathbf{x}_1 and \mathbf{x}_2.

kergp documentation built on April 4, 2025, 2:29 a.m.