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DiceKriging (version 1.5.5)
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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Install
install.packages('DiceKriging')
Monthly Downloads
7,969
Version
1.5.5
License
GPL-2 | GPL-3
Maintainer
Olivier Roustant
Last Published
April 24th, 2015
Functions in DiceKriging (1.5.5)
Search functions
SCAD
Penalty function
show
Print values of a km object
kernelname
Get the kernel name
covVector.dx
Spatial covariance - Derivatives
covKernel-class
Class "covKernel"
km-class
Kriging models class
covScaling-class
Class "covScaling"
DiceKriging-package
Kriging Methods for Computer Experiments
SCAD.derivative
Penalty function derivative
plot
Diagnostic plot for the validation of a km object
covTensorProduct-class
Class of tensor-product spatial covariances
covAffineScaling-class
Class "covAffineScaling"
covUser-class
Class "covUser"
nuggetflag
Get the nugget flag
hartman3
3D test function
leaveOneOutGrad
Leave-one-out least square criterion - Analytical gradient
branin
2D test function
trend.deltax
Trend derivatives
computeAuxVariables
Auxiliary variables for kriging
drop.response
Trend model formula operation
camelback
2D test function
scalingFun
Scaling function
scalingGrad
Gradient of the dimensional Scaling function
leaveOneOutFun
Leave-one-out least square criterion of a km object
covParametersBounds
Boundaries for covariance parameters
kmNoNugget.init
Fitting Kriging Models
goldsteinPrice
2D test function
km
Fit and/or create kriging models
trendMatrix.update
Trend model matrix operation
predict
Predict values and confidence intervals at newdata for a km object
checkNames
Consistency test between the column names of two matrices
kmNuggets.init
Fitting Kriging Models
covMat1Mat2
Cross covariance matrix
km1Nugget.init
Fitting Kriging Models
affineScalingGrad
Gradient of the Scaling function (affine case)
covStruct.create
Spatial covariance - Class constructor
nuggetvalue
Get or set the nugget value
hartman6
6D test function
ninput
Get the spatial dimension
inputnames
Get the input variables names
covMatrixDerivative
Covariance matrix derivatives
logLik
log-likelihood of a km object
kmData
Fit and/or create kriging models
affineScalingFun
Scaling function (affine case)
leaveOneOut.km
Leave-one-out for a km object
simulate
Simulate GP values at any given set of points for a km object
covMatrix
Covariance matrix
kmEstimate
Fitting Kriging Models
covparam2vect
Auxiliary function
covIso-class
Class of tensor-product spatial covariances with isotropic range
coef
Get coefficients values
logLikGrad
Concentrated log-Likelihood of a km object - Analytical gradient
logLikFun
Concentrated log-likelihood of a km object
update
Update of a kriging model
vect2covparam
Auxiliary function