R: Spatial covariance - Class constructor

covStruct.create {DiceKriging} | R Documentation

## Spatial covariance - Class constructor

### Description

Creates a covariance structure.

### Usage

    covStruct.create(covtype, d, known.covparam, var.names, coef.cov = NULL, coef.var = NULL,
         nugget = NULL, nugget.estim = FALSE, nugget.flag = FALSE,
         iso = FALSE, scaling = FALSE, knots=NULL, kernel=NULL)

### Arguments

`covtype` | a character string specifying the covariance structure.
`d` | an integer containing the spatial dimension.
`known.covparam` | a character ("None" or "All") indicating whether covariance parameters are known or must be estimated.
`var.names` | a vector of character strings containing the variable names.
`coef.cov` | an optional vector containing the values for covariance parameters.
`coef.var` | an optional number containing the variance value.
`nugget` | an optional variance value standing for the homogenous nugget effect. Default is NULL.
`nugget.estim` | is the nugget effect estimated or known?
`nugget.flag` | is there a nugget effect?
`iso` | an optional boolean that can be used to force a tensor-product covariance structure to have a range parameter common to all dimensions.
`scaling` | an optional boolean indicating whether a scaling on the covariance structure should be used.
`knots` | an optional list of knots (used if `scaling = TRUE`)
`kernel` | an optional function containing a new covariance structure

### Value

A formal S4 class of type `covTensorProduct-class`, `covIso-class` (if `iso` is `TRUE`) (if `scaling` is `TRUE`), or `covUser-class` (if `kernel` is `TRUE`).

### Author(s)

O. Roustant, D. Ginsbourger

### See Also

`km`

[Package DiceKriging version 1.5.8 Index]