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DiceKriging (version 1.6.1)

Kriging Methods for Computer Experiments

Description

Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.

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Version

Install

install.packages('DiceKriging')

Monthly Downloads

23,700

Version

1.6.1

License

GPL-2 | GPL-3

Maintainer

Olivier Roustant

Last Published

October 21st, 2025

Functions in DiceKriging (1.6.1)

checkNames

Consistency test between the column names of two matrices
covParametersBounds

Boundaries for covariance parameters
covMatrix

Covariance matrix
camelback

2D test function
covMatrixDerivative

Covariance matrix derivatives
covUser-class

Class "covUser"
covparam2vect

Auxiliary function
hartman6

6D test function
cv

Multiple fold cross validation for a km object
kernelname

Get the kernel name
drop.response

Trend model formula operation
km-class

Kriging models class
inputnames

Get the input variables names
km1Nugget.init

Fitting Kriging Models
goldsteinPrice

2D test function
km

Fit and/or create kriging models
hartman3

3D test function
kmEstimate

Fitting Kriging Models
kmData

Fit and/or create kriging models
logLikFun

Concentrated log-likelihood of a km object
leaveOneOutGrad

Leave-one-out least square criterion - Analytical gradient
logLikGrad

Concentrated log-Likelihood of a km object - Analytical gradient
kmNoNugget.init

Fitting Kriging Models
kmNuggets.init

Fitting Kriging Models
leaveOneOut.km

Leave-one-out for a km object
leaveOneOutFun

Leave-one-out least square criterion of a km object
logLik

log-likelihood of a km object
nuggetvalue

Get or set the nugget value
scalingFun1d

Scaling 1-dimensional function
ninput

Get the spatial dimension
update

Update of a kriging model
predict

Predict values and confidence intervals at newdata for a km object
simulate

Simulate GP values at any given set of points for a km object
scalingGrad

Gradient of the dimensional Scaling function
show

Print values of a km object
scalingFun

Scaling function
trend.deltax

Trend derivatives
plot

Diagnostic plot for the validation of a km object
nuggetflag

Get the nugget flag
trendMatrix.update

Trend model matrix operation
vect2covparam

Auxiliary function
covIso-class

Class of tensor-product spatial covariances with isotropic range
covKernel-class

Class "covKernel"
covVector.dx

Spatial covariance - Derivatives
covTensorProduct-class

Class of tensor-product spatial covariances
coef

Get coefficients values
covScaling-class

Class "covScaling"
computeAuxVariables

Auxiliary variables for kriging
SCAD

Penalty function
SCAD.derivative

Penalty function derivative
covMat1Mat2

Cross covariance matrix
covStruct.create

Spatial covariance - Class constructor
DiceKriging-package

Kriging Methods for Computer Experiments
branin

2D test function