kmNoNugget.init

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Fitting Kriging Models

kmNoNugget.init is used to give initial values to fit kriging models when there is no nugget effect nor noisy observations.

Keywords
models, internal, htest
Usage
kmNoNugget.init(model, fn, fnscale)
Arguments
model

an object of class km.

fn

the function considered: logLikFun or leaveOneOutFun.

fnscale

a real number which sign determines the direction for optimization: <0 for logLikFun, >0 for leaveOneOutFun.

Details

The procedure can be summarized in 2 stages:

1) If no initial value is provided by the user for the covariance parameters, simulate them uniformly inside the domain delimited by model@lower and model@upper. The number of simulations is the one given in model@control$pop.size.

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

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