Description Objects from the Class Slots Extends Methods Author(s) See Also Examples
An arbitrary covariance kernel provided by the user
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.
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).
Class "covKernel", directly.
signature(object = "covUser"): ...
signature(object = "covScaling"): ...
signature(object = "covScaling"): ...
signature(object = "covScaling"): ...
signature(x = "covAffineScaling"): ...
signature(x = "covAffineScaling"): ...
signature(x = "covAffineScaling"): ...
Olivier Roustant, David Ginsbourger, Yves Deville
km
covTensorProduct
covAffineScaling
covIso
covKernel
1 | showClass("covUser")
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