DiceKriging (version 1.5.6)

covUser-class: Class "covUser"

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"): ...

See Also

'>km '>covTensorProduct '>covIso '>covKernel

Examples

# NOT RUN {
showClass("covUser")
# }

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