Rdocumentation
powered by
Learn R Programming
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.
Copy Link
Link to current version
Version
Version
1.6.1
1.6.0
1.5.8
1.5.6
1.5.5
1.5.4
1.5.3
1.5.2
1.5.1
1.4.1
1.4.0
1.3.3
1.3.2
1.2
1.1
1.0
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)
Search all functions
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