Package: DiceKriging 1.6.1
DiceKriging: Kriging Methods for Computer Experiments
Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.
Authors:
DiceKriging_1.6.1.tar.gz
DiceKriging_1.6.1.zip(r-4.7)DiceKriging_1.6.1.zip(r-4.6)DiceKriging_1.6.1.zip(r-4.5)
DiceKriging_1.6.1.tgz(r-4.6-x86_64)DiceKriging_1.6.1.tgz(r-4.6-arm64)DiceKriging_1.6.1.tgz(r-4.5-x86_64)DiceKriging_1.6.1.tgz(r-4.5-arm64)
DiceKriging_1.6.1.tar.gz(r-4.7-arm64)DiceKriging_1.6.1.tar.gz(r-4.7-x86_64)DiceKriging_1.6.1.tar.gz(r-4.6-arm64)DiceKriging_1.6.1.tar.gz(r-4.6-x86_64)
DiceKriging_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:7bd7dd02fd. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 133 | ||
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 159 | ||
| linux-release-arm64 | OK | 106 | ||
| linux-release-x86_64 | OK | 116 | ||
| macos-release-arm64 | OK | 223 | ||
| macos-release-x86_64 | OK | 296 | ||
| macos-oldrel-arm64 | OK | 159 | ||
| macos-oldrel-x86_64 | OK | 296 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 138 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 88 |
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 |
