F_                      Get trend matrix F
F_.MLPKriging           Get trend matrix F for an MLPKriging model
F_.WarpKriging          Get trend matrix F for a WarpKriging model
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 'libKriging' library.
M                       Get whitened trend matrix M
M.MLPKriging            Get whitened trend matrix M for an MLPKriging
                        model
M.WarpKriging           Get whitened trend matrix M for a WarpKriging
                        model
MLPKriging              Create an MLPKriging model (Deep Kernel
                        Learning)
NestedKriging           Create an object with S3 class
                        '"NestedKriging"' using the 'libKriging'
                        library.
NoiseKM                 Create a KM object with heteroscedastic noise
                        (deprecated)
NuggetKM                Create a KM object with nugget effect
                        (deprecated)
T_                      Get Cholesky factor T
T_.MLPKriging           Get Cholesky factor T for an MLPKriging model
T_.WarpKriging          Get Cholesky factor T for a WarpKriging model
WarpKriging             Create a WarpKriging model
X                       Get training input matrix
X.MLPKriging            Get training input matrix
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 'DiceKriging' package.
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"
classNestedKriging      Shortcut to provide functions to the S3 class
                        "NestedKriging"
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
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
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
leaveOneOut             Compute Leave-One-Out
leaveOneOut.Kriging     Get leaveOneOut of Kriging Model
leaveOneOutFun          Leave-One-Out function
leaveOneOutFun.Kriging
                        Compute Leave-One-Out (LOO) error for an object
                        with S3 class '"Kriging"' representing a
                        kriging model.
leaveOneOutVec          Leave-One-Out vector
leaveOneOutVec.Kriging
                        Compute Leave-One-Out (LOO) vector error for an
                        object with S3 class '"Kriging"' representing a
                        kriging model.
load                    Load any Kriging Model from a file storage.
                        Back to base::load if not a Kriging object.
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
logLikelihood.Kriging   Get Log-Likelihood of Kriging Model
logLikelihood.WarpKriging
                        Log-likelihood of the fitted model
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
logMargPost             Compute log-Marginal Posterior
logMargPost.Kriging     Get logMargPost of Kriging Model
logMargPostFun          log-Marginal Posterior function
logMargPostFun.Kriging
                        Compute the log-marginal posterior of a kriging
                        model, using the prior XXXY.
normalize               Get normalize flag
normalize.MLPKriging    Get normalize flag for an MLPKriging model
normalize.WarpKriging   Get normalize flag for a WarpKriging model
predict,KM-method       Prediction Method for a 'KM' Object
predict.Kriging         Predict from a 'Kriging' object.
predict.MLPKriging      Predict with an MLPKriging model
predict.NestedKriging   Predict from a 'NestedKriging' object.
predict.WarpKriging     Predict with a WarpKriging model
print.Kriging           Print the content of a 'Kriging' object.
print.NestedKriging     Print a 'NestedKriging' 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 argument is not a Kriging object.
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
theta                   Get GP range parameters
theta.WarpKriging       Get GP range parameters
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.WarpKriging      Update a WarpKriging 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)
warp_affine             Affine warping: w(x) = a*x + b
warp_boxcox             Box-Cox warping
warp_categorical        Categorical embedding
warp_knots              Piecewise-linear monotone warping with knots
                        (Xiong et al. 2007)
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)
warping                 Get warping specifications as strings
warping.WarpKriging     Get warping specification for a WarpKriging
                        model
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
