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| kergp-package | Gaussian Process Laboratory |
| checkX | Generic function to check the compatibility of a design matrix with a given covariance object |
| checkX-method | Check the compatibility of a design with a given covariance object |
| checkX-method | Virtual class "covAll" |
| coef,methods | Extract coefficients of a covTS object as vector, list or matrix |
| coef-method | Extract coefficients of a covTS object as vector, list or matrix |
| coef<- | Generic function for the replacement of coefficient values |
| coef<--method | Class '"covMan"' |
| coef<--method | Class '"covTS"' |
| coefLower | Extract or set lower/upper bounds on coefficients |
| coefLower-method | Class '"covMan"' |
| coefLower-method | Class '"covTS"' |
| coefLower<- | Extract or set lower/upper bounds on coefficients |
| coefLower<--method | Class '"covMan"' |
| coefLower<--method | Class '"covTS"' |
| coefUpper | Extract or set lower/upper bounds on coefficients |
| coefUpper-method | Class '"covMan"' |
| coefUpper-method | Class '"covTS"' |
| coefUpper<- | Extract or set lower/upper bounds on coefficients |
| coefUpper<--method | Class '"covMan"' |
| coefUpper<--method | Class '"covTS"' |
| coerce-method | Class '"covMan"' |
| covAll-class | Virtual class "covAll" |
| covMan | Creator function for covMan objects |
| covMan-class | Class '"covMan"' |
| covMat | Generic function returning a covariance or a cross-covariance matrix between two sets of locations |
| covMat-method | Covariance Matrix for a covariance kernel object |
| covTS | Creator function for covTS objects |
| covTS-class | Class '"covTS"' |
| gls | Generic function computing a Generalized Least Squares estimation with a given covariance kernel |
| gls-method | Generalized Least Squares estimation with a given covariance kernel |
| gls-methods | Generalized Least Squares estimation with a given covariance kernel |
| gp | Gaussian Process model |
| influence.gp | Diagnostics for a Gaussian Process model, based on Leave-One-Out |
| inputNames | Generic function returning the names of the inputs of a covariance kernel |
| inputNames-method | Virtual class "covAll" |
| kergp | Gaussian Process Laboratory |
| kernelName | Name of the 1d kernel in a composite kernel object |
| kernelName-method | Class '"covTS"' |
| mle | Generic function for Maximum Likelihood estimation of a Gaussian Process model |
| mle-method | Maximum Likelihood estimation of Gaussian Process model parameters |
| mle-methods | Maximum Likelihood estimation of Gaussian Process model parameters |
| npar | Generic function returning the number of free parameters in a covariance kernel |
| npar-method | Number of parameters for a covariance kernel object |
| parMap | Generic function to map the parameters of a composite covariance kernel |
| parMap-method | Map the parameters of a structure on the inputs and kernel parameters |
| plot.gp | Diagnostic plot for the validation of a 'gp' object |
| predict.gp | Prediction method for the '"gp"' S3 class |
| scores | Generic function returning the scores for a covariance kernel object |
| scores-method | Class '"covMan"' |
| scores-method | Class '"covTS"' |
| shapeSlot | Extracts the slots of a structure |
| show-method | Class '"covMan"' |
| show-method | Class '"covTS"' |
| simulPar | Generic function to draw random values for the parameters of a covariance kernel |
| simulPar-method | Virtual class "covAll" |