kmNuggets.init

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Fitting Kriging Models

kmNuggets.init is used to give initial values to fit kriging models, in presence of noisy observations.

Keywords
models, internal, htest
Usage
kmNuggets.init(model)
Arguments
model

an object of class km.

Details

The procedure can be summarized in 4 stages:

1) Compute the variogram and give a first estimation of the process variance, as well as lower and upper bounds.
2) Simulate several values for the process variance, around the estimation obtained at stage 1). The number of simulations is the one given in model@control$pop.size.
3) If no initial value is provided for the other covariance parameters, simulate them uniformly inside the domain delimited by model@lower and model@upper. The number of simulations is the same as in stage 2).

Value

par

a matrix whose rows contain initial vectors of parameters.

value

a vector containing the function values corresponding to par.

cov

a list containing the covariance objects corresponding to par.

lower

,

upper

vectors containing lower and upper bounds for parameters.

See Also

km, kmEstimate

Aliases
  • kmNuggets.init
Documentation reproduced from package DiceKriging, version 1.5.6, License: GPL-2 | GPL-3

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