Description Usage Arguments Value Note References Examples
Matérn kernels, obtained by plugging the Euclidian norm into a 1-dimensional Matérn function.
1 | kMatern(d, nu = "5/2")
|
d |
Dimension. |
nu |
Character corresponding to the smoothness parameter ν of Matérn kernels. At this stage, the possible values are "1/2" (exponential kernel), "3/2" or "5/2". |
An object of class "covMan"
with default parameters: 1 for
ranges and variance values.
Notice that these kernels are NOT obtained by tensor product.
C.E. Rasmussen and C.K.I. Williams (2006), Gaussian Processes for Machine Learning, the MIT Press, http://www.GaussianProcess.org/gpml/
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