Kriging Methods for Computer Experiments
Fitting Kriging Models
2D test function
2D test function
Consistency test between the column names of two matrices
Get coefficients values
Auxiliary variables for kriging
Class of tensor-product spatial covariances with isotropic range
Class "covKernel"
Cross covariance matrix
Covariance matrix
Covariance matrix derivatives
Auxiliary function
Boundaries for covariance parameters
Class "covScaling"
Spatial covariance - Class constructor
Fitting Kriging Models
Class of tensor-product spatial covariances
Class "covUser"
Spatial covariance - Derivatives
Multiple fold cross validation for a km object
Kriging Methods for Computer Experiments
Trend model formula operation
2D test function
3D test function
6D test function
Get the input variables names
Get the kernel name
Kriging models class
Fit and/or create kriging models
Fitting Kriging Models
Fit and/or create kriging models
Fitting Kriging Models
Leave-one-out for a km object
Leave-one-out least square criterion of a km object
Leave-one-out least square criterion - Analytical gradient
log-likelihood of a km object
Concentrated log-likelihood of a km object
Concentrated log-Likelihood of a km object - Analytical gradient
Get the spatial dimension
Get the nugget flag
Get or set the nugget value
Diagnostic plot for the validation of a km object
Predict values and confidence intervals at newdata for a km object
Penalty function derivative
Penalty function
Scaling function
Scaling 1-dimensional function
Gradient of the dimensional Scaling function
Print values of a km object
Simulate GP values at any given set of points for a km object
Trend derivatives
Trend model matrix operation
Update of a kriging model
Auxiliary function
Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.