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.

- coef
`signature(object = "covUser")`

: ...- covMat1Mat2
`signature(object = "covScaling")`

: ...- covMatrix
`signature(object = "covScaling")`

: ...- show
`signature(object = "covScaling")`

: ...- nuggetflag
`signature(x = "covAffineScaling")`

: ...- nuggetvalue
`signature(x = "covAffineScaling")`

: ...- nuggetvalue<-
`signature(x = "covAffineScaling")`

: ...

Olivier Roustant, David Ginsbourger, Yves Deville

`km`

`covTensorProduct`

`covAffineScaling`

`covIso`

`covKernel`

1 | ```
showClass("covUser")
``` |

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