# kmNoNugget.init

From DiceKriging v1.5.6
by Olivier Roustant

##### Fitting Kriging Models

`kmNoNugget.init`

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

##### 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

a matrix whose rows contain initial vectors of parameters.

a vector containing the function values corresponding to `par`

.

a list containing the covariance objects corresponding to `par`

.

,

vectors containing lower and upper bounds for parameters.

##### See Also

*Documentation reproduced from package DiceKriging, version 1.5.6, License: GPL-2 | GPL-3*

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