AFF_1D                  Affine transformation on a 1D domain
AFF_2D                  Affine transformation on a 2D domain
AWU                     Axial Warping Unit
LFT                     LFT (Möbius transformation)
RBF_block               Radial Basis Function Warpings
bisquares1D             Bisquare functions on a 1D domain
bisquares2D             Bisquare functions on a 2D domain
deepspat                Deep compositional spatial models
deepspat_GP             Fit a univariate Gaussian process deepspat
                        model
deepspat_MSP            Fit a max-stable Brown-Resnick deepspat model
deepspat_bivar_GP       Fit a bivariate Gaussian process deepspat model
deepspat_nn_GP          Fit a nearest-neighbor Gaussian process
                        deepspat model
deepspat_nn_ST_GP       Fit a nearest-neighbor spatio-temporal Gaussian
                        process deepspat model
deepspat_rPP            Fit an r-Pareto process deepspat model
deepspat_trivar_GP      Fit a trivariate Gaussian process deepspat
                        model
init_learn_rates        Initialise learning rates
initvars                Initialise weights and parameters
plot.deepspat           Plot fitted deepspat models
predict.deepspat        Predict from a fitted deepspat model
predict.deepspat_GP     Predict from a fitted univariate Gaussian
                        process model
predict.deepspat_MSP    Predict fitted dependence from a max-stable
                        process model
predict.deepspat_bivar_GP
                        Predict from a fitted bivariate Gaussian
                        process model
predict.deepspat_nn_GP
                        Predict from a fitted nearest-neighbor Gaussian
                        process model
predict.deepspat_nn_ST_GP
                        Predict from a fitted nearest-neighbor
                        spatio-temporal Gaussian process model
predict.deepspat_rPP    Predict fitted dependence from an r-Pareto
                        process model
predict.deepspat_trivar_GP
                        Predict from a fitted trivariate Gaussian
                        process model
print.deepspat          Print fitted deepspat models
set_deepspat_seed       Set TensorFlow seed
sim_data                Generate simulation data for testing
summary.deepspat        Summarize fitted deepspat models
