R: Class of tensor-product spatial covariances with isotropic...
covIso-class
R Documentation
Class of tensor-product spatial covariances with isotropic range
Description
S4 class of isotropic spatial covariance kerlnes based upon the covTensorProduct class
Objects from the Class
In 1-dimension, the covariance kernels are parameterized as in (Rasmussen, Williams, 2006). Denote by theta the range parameter, p the exponent parameter (for power-exponential covariance), s the standard deviation, and h=||x-y||. Then we have C(x,y) = s^2 * k(x,y), with:
M.L. Stein (1999), Interpolation of spatial data, some theory for kriging, Springer.
See Also
kmcovTensorProduct
Examples
showClass("covIso")
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DiceKriging)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DiceKriging/covIso-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: covIso-class
> ### Title: Class of tensor-product spatial covariances with isotropic range
> ### Aliases: covIso-class coef,covIso-method covMat1Mat2,covIso-method
> ### covMatrix,covIso-method covMatrixDerivative,covIso-method
> ### covParametersBounds,covIso-method covparam2vect,covIso-method
> ### vect2covparam,covIso-method covVector.dx,covIso-method
> ### inputnames,covIso-method kernelname,covIso-method
> ### ninput,covIso-method nuggetflag,covIso-method
> ### nuggetvalue,covIso-method nuggetvalue<-,covIso,numeric-method
> ### show,covIso-method summary,covIso-method
> ### Keywords: classes
>
> ### ** Examples
>
> showClass("covIso")
Class "covIso" [package "DiceKriging"]
Slots:
Name: d name paramset.n var.names
Class: integer character integer character
Name: sd2 known.covparam nugget.flag nugget.estim
Class: numeric character logical logical
Name: nugget param.n range.names range.val
Class: numeric integer character numeric
Extends: "covKernel"
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> dev.off()
null device
1
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