KM-class | R Documentation |

`"km"`

ClassThis class is intended to be used either by using its
own dedicated S4 methods or by using the S4 methods inherited
from the `"km"`

class of the libKriging package.

`d,n,X,y,p,F`

Number of (numeric) inputs, number of observations, design matrix, response vector, number of trend variables, trend matrix.

`trend.formula,trend.coef`

Formula used for the trend, vector

*betaHat*of estimated (or fixed) trend coefficients with length*p*.`covariance`

A S4 object with class

`"covTensorProduct"`

representing a covariance kernel.`noise.flag,noise.var`

Logical flag and numeric value for an optional noise term.

`known.param`

A character code indicating what parameters are known.

`lower,upper`

Bounds on the correlation range parameters.

`method,penalty,optim.method,control,gr,parinit`

Objects defining the estimation criterion, the optimization.

`T,M,z`

Auxiliary variables (matrices and vectors) that can be used in several computations.

`case`

The possible concentration (a.k.a. profiling) of the likelihood.

`param.estim`

Logical. Is an estimation used?

`Kriging`

A copy of the

`Kriging`

object used to create the current`KM`

object.

Yann Richet yann.richet@irsn.fr

`km-class`

in the
DiceKriging package. The creator `KM`

.

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