DiceKriging v1.6.0
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Kriging Methods for Computer Experiments
Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.
Readme
DiceKriging: Kriging methods for computer experiments
This repository is the regular DiceKriging package repository (available at http://cran.r-project.org/web/packages/DiceKriging). It contains the latest sources, possibly some supplement of stable CRAN release.
Installation
You can install the standard (CRAN) version of the code: install.packages("DiceKriging")
You can install the latest (this repository) version x.y.z of the code:
- using pre-built packages:
- Windows:
install.packages("https://github.com/DiceKrigingClub/DiceKriging/releases/download/windows/DiceKriging_x.y.z.zip")
- Linux:
install.packages("https://github.com/DiceKrigingClub/DiceKriging/releases/download/osx-linux/DiceKriging_x.y.z.tar.gz")
- OSX:
install.packages("https://github.com/DiceKrigingClub/DiceKriging/releases/download/osx-linux/DiceKriging_x.y.z.tgz")
- Windows:
- or using the
devtools
R package (assuming you have C compiler installed):install.packages("devtools") # Install devtools, if you haven't already. devtools::install_github("DiceKriging", "DiceKrigingClub")
Functions in DiceKriging
Name | Description | |
camelback | 2D test function | |
DiceKriging-package | Kriging Methods for Computer Experiments | |
covKernel-class | Class "covKernel" | |
checkNames | Consistency test between the column names of two matrices | |
SCAD | Penalty function | |
covTensorProduct-class | Class of tensor-product spatial covariances | |
covIso-class | Class of tensor-product spatial covariances with isotropic range | |
coef | Get coefficients values | |
covparam2vect | Auxiliary function | |
SCAD.derivative | Penalty function derivative | |
covVector.dx | Spatial covariance - Derivatives | |
kernelname | Get the kernel name | |
drop.response | Trend model formula operation | |
kmEstimate | Fitting Kriging Models | |
cv | Multiple fold cross validation for a km object | |
kmData | Fit and/or create kriging models | |
covUser-class | Class "covUser" | |
inputnames | Get the input variables names | |
show | Print values of a km object | |
covScaling-class | Class "covScaling" | |
covMatrixDerivative | Covariance matrix derivatives | |
hartman6 | 6D test function | |
branin | 2D test function | |
covStruct.create | Spatial covariance - Class constructor | |
km | Fit and/or create kriging models | |
logLikFun | Concentrated log-likelihood of a km object | |
leaveOneOut.km | Leave-one-out for a km object | |
covParametersBounds | Boundaries for covariance parameters | |
km-class | Kriging models class | |
scalingFun1d | Scaling 1-dimensional function | |
nuggetflag | Get the nugget flag | |
ninput | Get the spatial dimension | |
logLikGrad | Concentrated log-Likelihood of a km object - Analytical gradient | |
simulate | Simulate GP values at any given set of points for a km object | |
scalingFun | Scaling function | |
predict | Predict values and confidence intervals at newdata for a km object | |
trend.deltax | Trend derivatives | |
leaveOneOutFun | Leave-one-out least square criterion of a km object | |
scalingGrad | Gradient of the dimensional Scaling function | |
trendMatrix.update | Trend model matrix operation | |
leaveOneOutGrad | Leave-one-out least square criterion - Analytical gradient | |
update | Update of a kriging model | |
logLik | log-likelihood of a km object | |
km1Nugget.init | Fitting Kriging Models | |
vect2covparam | Auxiliary function | |
covMatrix | Covariance matrix | |
covMat1Mat2 | Cross covariance matrix | |
goldsteinPrice | 2D test function | |
kmNuggets.init | Fitting Kriging Models | |
hartman3 | 3D test function | |
kmNoNugget.init | Fitting Kriging Models | |
nuggetvalue | Get or set the nugget value | |
plot | Diagnostic plot for the validation of a km object | |
computeAuxVariables | Auxiliary variables for kriging | |
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Last month downloads
Details
Date | 2021-02-23 |
License | GPL-2 | GPL-3 |
URL | https://dicekrigingclub.github.io/www/ |
NeedsCompilation | yes |
Packaged | 2021-02-23 17:02:18 UTC; yves |
Repository | CRAN |
Date/Publication | 2021-02-23 17:30:03 UTC |
suggests | doParallel , foreach , numDeriv , rgenoud (>= 5.8-2.0) , testthat |
depends | methods |
Contributors | Olivier Roustant, David Ginsbourger, Yves Contributors: Clement Chevalier, Yann Richet |
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