| Get activation function name | activation |
| Get activation function for an MLPKriging model | activation.MLPKriging |
| Coerce an Object into a 'km' Object | as.km |
| Coerce a 'Kriging' object into the '"km"' class of the 'DiceKriging' package. | as.km,Kriging,Kriging-method as.km.Kriging |
| Coerce a 'Kriging' Object into a List | as.list,Kriging,Kriging-method as.list.Kriging |
| Get trend coefficients beta | beta |
| Get trend coefficients beta for an MLPKriging model | beta.MLPKriging |
| Get trend coefficients beta for a WarpKriging model | beta.WarpKriging |
| Get input centering vector | centerX |
| Get input centering vector for an MLPKriging model | centerX.MLPKriging |
| Get input centering vector for a WarpKriging model | centerX.WarpKriging |
| Get output centering value | centerY |
| Get output centering value for an MLPKriging model | centerY.MLPKriging |
| Get output centering value for a WarpKriging model | centerY.WarpKriging |
| Shortcut to provide functions to the S3 class "Kriging" | classKriging |
| Shortcut to provide functions to the S3 class "MLPKriging" | classMLPKriging |
| Shortcut to provide functions to the S3 class "WarpKriging" | classWarpKriging |
| Duplicate object. | copy |
| Duplicate a Kriging Model | copy,Kriging,Kriging-method copy.Kriging |
| Deep copy of MLPKriging model | copy.MLPKriging |
| Deep copy of WarpKriging model | copy.WarpKriging |
| covariance function | covMat |
| Compute Covariance Matrix of Kriging Model | covMat,Kriging,Kriging-method covMat.Kriging |
| Get trend matrix F | F_ |
| Get trend matrix F for an MLPKriging model | F_.MLPKriging |
| Get trend matrix F for a WarpKriging model | F_.WarpKriging |
| Get feature dimensionality (d_out) | feature_dim |
| Get feature dimensionality for an MLPKriging model | feature_dim.MLPKriging |
| Get feature dimensionality of warped space | feature_dim.WarpKriging |
| Fit model on data. | fit |
| Fit 'Kriging' object on given data. | fit.Kriging |
| Fit an MLPKriging model to data | fit.MLPKriging |
| Fit a WarpKriging model to data | fit.WarpKriging |
| Get hidden layer sizes | hidden_dims |
| Get hidden layer sizes for an MLPKriging model | hidden_dims.MLPKriging |
| Check if the model has been fitted | is_fitted |
| Check whether an MLPKriging model is fitted | is_fitted.MLPKriging |
| Check whether a WarpKriging model is fitted | is_fitted.WarpKriging |
| Get kernel name | kernel |
| Get kernel name | kernel.WarpKriging |
| Create an 'KM' Object | KM |
| S4 class for Kriging Models Extending the '"km"' Class | KM-class |
| Create an object with S3 class '"Kriging"' using the 'libKriging' library. | Kriging |
| Compute Leave-One-Out | leaveOneOut |
| Get leaveOneOut of Kriging Model | leaveOneOut,Kriging,Kriging-method leaveOneOut.Kriging |
| Leave-One-Out function | leaveOneOutFun |
| Compute Leave-One-Out (LOO) error for an object with S3 class '"Kriging"' representing a kriging model. | leaveOneOutFun,Kriging,Kriging-method leaveOneOutFun.Kriging |
| Leave-One-Out vector | leaveOneOutVec |
| Compute Leave-One-Out (LOO) vector error for an object with S3 class '"Kriging"' representing a kriging model. | leaveOneOutVec,Kriging,Kriging-method leaveOneOutVec.Kriging |
| Load any Kriging Model from a file storage. Back to base::load if not a Kriging object. | load |
| Load a Kriging Model from a file storage | load.Kriging |
| Load an MLPKriging model from file | load.MLPKriging |
| Load a WarpKriging model from file | load.WarpKriging |
| Compute Log-Likelihood | logLikelihood |
| Get Log-Likelihood of Kriging Model | logLikelihood,Kriging,Kriging-method logLikelihood.Kriging |
| Log-likelihood of the fitted model | logLikelihood.WarpKriging |
| Log-Likelihood function | logLikelihoodFun |
| Compute Log-Likelihood of Kriging Model | logLikelihoodFun,Kriging,Kriging-method logLikelihoodFun.Kriging |
| Evaluate log-likelihood at given GP theta | logLikelihoodFun.MLPKriging |
| Evaluate log-likelihood at given theta | logLikelihoodFun.WarpKriging |
| Compute log-Marginal Posterior | logMargPost |
| Get logMargPost of Kriging Model | logMargPost,Kriging,Kriging-method logMargPost.Kriging |
| log-Marginal Posterior function | logMargPostFun |
| Compute the log-marginal posterior of a kriging model, using the prior XXXY. | logMargPostFun,Kriging,Kriging-method logMargPostFun.Kriging |
| Get whitened trend matrix M | M |
| Get whitened trend matrix M for an MLPKriging model | M.MLPKriging |
| Get whitened trend matrix M for a WarpKriging model | M.WarpKriging |
| Create an MLPKriging model (Deep Kernel Learning) | MLPKriging |
| Create a KM object with heteroscedastic noise (deprecated) | NoiseKM |
| Get normalize flag | normalize |
| Get normalize flag for an MLPKriging model | normalize.MLPKriging |
| Get normalize flag for a WarpKriging model | normalize.WarpKriging |
| Create a KM object with nugget effect (deprecated) | NuggetKM |
| Prediction Method for a 'KM' Object | predict,KM-method |
| Predict from a 'Kriging' object. | predict.Kriging |
| Predict with an MLPKriging model | predict.MLPKriging |
| Predict with a WarpKriging model | predict.WarpKriging |
| Print the content of a 'Kriging' object. | print.Kriging |
| Get regression model type | regmodel |
| Get regression model type for an MLPKriging model | regmodel.MLPKriging |
| Get regression model type for a WarpKriging model | regmodel.WarpKriging |
| Save a Kriging Model inside a file. Back to base::save if argument is not a Kriging object. | save |
| Save a Kriging Model to a file storage | save,Kriging,Kriging-method save.Kriging |
| Save an MLPKriging model to file | save.MLPKriging |
| Save a WarpKriging model to file | save.WarpKriging |
| Get input scaling vector | scaleX |
| Get input scaling vector for an MLPKriging model | scaleX.MLPKriging |
| Get input scaling vector for a WarpKriging model | scaleX.WarpKriging |
| Get output scaling value | scaleY |
| Get output scaling value for an MLPKriging model | scaleY.MLPKriging |
| Get output scaling value for a WarpKriging model | scaleY.WarpKriging |
| Get process variance | sigma2 |
| Get process variance (concentrated MLE) | sigma2.WarpKriging |
| Simulation from a 'KM' Object | simulate,KM-method |
| Simulation from a 'Kriging' model object. | simulate.Kriging |
| Simulate from an MLPKriging model | simulate.MLPKriging |
| Simulate from a WarpKriging model | simulate.WarpKriging |
| Get Cholesky factor T | T_ |
| Get Cholesky factor T for an MLPKriging model | T_.MLPKriging |
| Get Cholesky factor T for a WarpKriging model | T_.WarpKriging |
| Get GP range parameters | theta |
| Get GP range parameters | theta.WarpKriging |
| Update simulation of model on data. | update_simulate |
| Update previous simulation of a 'Kriging' model object. | update_simulate.Kriging |
| Update simulated paths with new observations (FOXY algorithm) | update_simulate.MLPKriging |
| Update simulated paths with new observations (FOXY algorithm) | update_simulate.WarpKriging |
| Update a 'KM' Object with New Points | update,KM-method |
| Update a 'Kriging' model object with new points | update.Kriging |
| Update an MLPKriging model with new observations | update.MLPKriging |
| Update a WarpKriging model with new observations | update.WarpKriging |
| Affine warping: w(x) = a*x + b | warp_affine |
| Box-Cox warping | warp_boxcox |
| Categorical embedding | warp_categorical |
| Piecewise-linear monotone warping with knots (Xiong et al. 2007) | warp_knots |
| Kumaraswamy CDF warping on [0,1] | warp_kumaraswamy |
| Per-variable MLP warping (unconstrained, multi-dim output) | warp_mlp |
| Monotone neural network warping | warp_neural_mono |
| No warping (identity) | warp_none |
| Ordinal warping (learned ordered positions) | warp_ordinal |
| Get warping specifications as strings | warping |
| Get warping specification for a WarpKriging model | warping.WarpKriging |
| Create a WarpKriging model | WarpKriging |
| Get training input matrix | X |
| Get training input matrix | X.MLPKriging |
| Get training output vector | y |
| Get training output vector | y.MLPKriging |
| Get whitened residuals z | z |
| Get whitened residuals z for an MLPKriging model | z.MLPKriging |
| Get whitened residuals z for a WarpKriging model | z.WarpKriging |
