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