Deep Compositional Spatial Models


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Documentation for package ‘deepspat’ version 0.3.2

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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