Package: DiceKriging 1.6.0
DiceKriging: Kriging Methods for Computer Experiments
Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.
Authors:
DiceKriging_1.6.0.tar.gz
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DiceKriging.pdf |DiceKriging.html✨
DiceKriging/json (API)
| # Install 'DiceKriging' in R: |
| install.packages('DiceKriging', repos = c('https://roustant.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dicekrigingclub/www/issues
Last updated 4 years agofrom:547135515e. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 02 2024 |
| R-4.5-win-x86_64 | OK | Sep 02 2024 |
| R-4.5-linux-x86_64 | OK | Sep 02 2024 |
| R-4.4-win-x86_64 | OK | Sep 02 2024 |
| R-4.4-mac-x86_64 | OK | Sep 02 2024 |
| R-4.4-mac-aarch64 | OK | Sep 02 2024 |
| R-4.3-win-x86_64 | OK | Sep 02 2024 |
| R-4.3-mac-x86_64 | OK | Sep 02 2024 |
| R-4.3-mac-aarch64 | OK | Sep 02 2024 |
Exports:branincamelbackcheckNamescheckNamesListcoefcomputeAuxVariablescovMat1Mat2covMatrixcovMatrixDerivativecovparam2vectcovParametersBoundscovStruct.createcovVector.dxcvdrop.responsegoldsteinPricehartman3hartman6inputnameskernelnamekmkm1Nugget.initkmDatakmEstimatekmNoNugget.initkmNuggets.initleaveOneOut.kmleaveOneOutFunleaveOneOutGradlogLik.kmlogLikFunlogLikGradninputnuggetflagnuggetvaluenuggetvalue<-plotplot.kmpredictpredict.kmSCADSCAD.derivativescalingFunscalingFun1dscalingGradshowsimulatesummarytrend.deltaxtrendMatrix.updateupdatevect2covparam
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Kriging Methods for Computer Experiments | DiceKriging |
| Consistency test between the column names of two matrices | checkNames checkNamesList |
| Get coefficients values | coef |
| Auxiliary variables for kriging | computeAuxVariables |
| Class of tensor-product spatial covariances with isotropic range | coef,covIso-method covIso-class covMat1Mat2,covIso-method covMatrix,covIso-method covMatrixDerivative,covIso-method covparam2vect,covIso-method covParametersBounds,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 vect2covparam,covIso-method |
| Class "covKernel" | covKernel-class |
| Cross covariance matrix | covMat1Mat2 |
| Covariance matrix | covMatrix |
| Boundaries for covariance parameters | covParametersBounds |
| Class "covScaling" | coef,covScaling-method covMat1Mat2,covScaling-method covMatrix,covScaling-method covMatrixDerivative,covScaling-method covparam2vect,covScaling-method covParametersBounds,covScaling-method covScaling-class covVector.dx,covScaling-method inputnames,covScaling-method kernelname,covScaling-method ninput,covScaling-method nuggetflag,covScaling-method nuggetvalue,covScaling-method nuggetvalue<-,covScaling,numeric-method show,covScaling-method summary,covScaling-method vect2covparam,covScaling-method |
| Class of tensor-product spatial covariances | coef,covTensorProduct-method covMat1Mat2,covTensorProduct-method covMatrix,covTensorProduct-method covMatrixDerivative,covTensorProduct-method covparam2vect,covTensorProduct-method covParametersBounds,covTensorProduct-method covTensorProduct-class covVector.dx,covTensorProduct-method inputnames,covTensorProduct-method kernelname,covTensorProduct-method ninput,covTensorProduct-method nuggetflag,covTensorProduct-method nuggetvalue,covTensorProduct-method nuggetvalue<-,covTensorProduct,numeric-method show,covTensorProduct-method summary,covTensorProduct-method vect2covparam,covTensorProduct-method |
| Class "covUser" | coef,covUser-method covMat1Mat2,covUser-method covMatrix,covUser-method covUser-class nuggetflag,covUser-method nuggetvalue,covUser-method nuggetvalue<-,covUser,numeric-method show,covUser-method |
| Multiple fold cross validation for a km object | cv |
| Get the input variables names | inputnames |
| Get the kernel name | kernelname |
| Fit and/or create kriging models | km |
| Kriging models class | coef,km-method km-class |
| Fit and/or create kriging models | kmData |
| Leave-one-out for a km object | leaveOneOut.km |
| Leave-one-out least square criterion of a km object | leaveOneOutFun |
| Leave-one-out least square criterion - Analytical gradient | leaveOneOutGrad |
| log-likelihood of a km object | logLik logLik,km-method logLik.km |
| Concentrated log-likelihood of a km object | logLikFun |
| Get the spatial dimension | ninput |
| Get the nugget flag | nuggetflag |
| Get or set the nugget value | nuggetvalue nuggetvalue<- |
| Diagnostic plot for the validation of a km object | plot plot,km-method plot.km |
| Predict values and confidence intervals at newdata for a km object | predict predict,km-method predict.km |
| Penalty function | SCAD |
| Scaling function | scalingFun |
| Scaling 1-dimensional function | scalingFun1d |
| Gradient of the dimensional Scaling function | scalingGrad |
| Print values of a km object | show,km-method |
| Simulate GP values at any given set of points for a km object | simulate simulate,km-method |
| Update of a kriging model | update update,km-method update.km |
