Man pages for IRSN/DiceKriging
Kriging Methods for Computer Experiments
| affineScalingFun | Scaling function (affine case) |
| affineScalingGrad | Gradient of the Scaling function (affine case) |
| branin | 2D test function |
| camelback | 2D test function |
| checkNames | Consistency test between the column names of two matrices |
| coef | Get coefficients values |
| computeAuxVariables | Auxiliary variables for kriging |
| covAffineScaling-class | Class "covAffineScaling" |
| covIso-class | Class of tensor-product spatial covariances with isotropic... |
| covKernel-class | Class "covKernel" |
| covMat1Mat2 | Cross covariance matrix |
| covMatrix | Covariance matrix |
| covMatrixDerivative | Covariance matrix derivatives |
| covparam2vect | Auxiliary function |
| covParametersBounds | Boundaries for covariance parameters |
| covScaling-class | Class "covScaling" |
| covStruct.create | Spatial covariance - Class constructor |
| covTensorProduct-class | Class of tensor-product spatial covariances |
| covUser-class | Class "covUser" |
| covVector.dx | Spatial covariance - Derivatives |
| DiceKriging-package | Kriging Methods for Computer Experiments |
| drop.response | Trend model formula operation |
| goldsteinPrice | 2D test function |
| hartman3 | 3D test function |
| hartman6 | 6D test function |
| inputnames | Get the input variables names |
| kernelname | Get the kernel name |
| km | Fit and/or create kriging models |
| km1Nugget.init | Fitting Kriging Models |
| km-class | Kriging models class |
| kmData | Fit and/or create kriging models |
| kmEstimate | Fitting Kriging Models |
| kmNoNugget.init | Fitting Kriging Models |
| kmNuggets.init | Fitting Kriging Models |
| leaveOneOutFun | Leave-one-out least square criterion of a km object |
| leaveOneOutGrad | Leave-one-out least square criterion - Analytical gradient |
| leaveOneOut.km | Leave-one-out for a km object |
| logLikFun | Concentrated log-likelihood of a km object |
| logLikGrad | Concentrated log-Likelihood of a km object - Analytical... |
| logLik.km | log-likelihood of a km object |
| ninput | Get the spatial dimension |
| nuggetflag | Get the nugget flag |
| nuggetvalue | Get or set the nugget value |
| plot.km | Diagnostic plot for the validation of a km object |
| predict.km | Predict values and confidence intervals at newdata for a km... |
| SCAD | Penalty function |
| SCAD.derivative | Penalty function derivative |
| scalingFun | Scaling function |
| scalingFun1d | Scaling 1-dimensional function |
| scalingGrad | Gradient of the dimensional Scaling function |
| show.km | Print values of a km object |
| simulate.km | Simulate GP values at any given set of points for a km object |
| trend.deltax | Trend derivatives |
| trendMatrix.update | Trend model matrix operation |
| update.km | Update of a kriging model |
| vect2covparam | Auxiliary function |
