Description

An arbitrary covariance kernel provided by the user

Objects from the Class

Any valid covariance kernel, provided as a 2-dimensional function (x,y) -> k(x,y). At this stage, no test is done to check that k is positive definite.

Slots

kernel:

Object of class "function". The new covariance kernel.

nugget.flag:

Object of class "logical". Is there a nugget effect?

nugget:

Object of class "numeric". If there is a nugget effect, its value (homogeneous to a variance).

Extends

Class "covKernel", directly.

Methods

coef

signature(object = "covUser"): ...

covMat1Mat2

signature(object = "covScaling"): ...

covMatrix

signature(object = "covScaling"): ...

show

signature(object = "covScaling"): ...

Author(s)

Olivier Roustant, David Ginsbourger, Yves Deville

See Also

km covTensorProduct covIso covKernel

Examples