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