Man pages for SLGP
Spatial Logistic Gaussian Process for Field Density Estimation
| check_basisfun_opts | Check basis function parameters |
| crossdist | Computes the Euclidean distance between rows of two matrices |
| evaluate_basis_functions | Evaluate basis functions at given locations. |
| initialize_basisfun | Initialize basis function parameters |
| initialize_basisfun_discreteFF | Initialize discrete Fourier features |
| initialize_basisfun_fillingRFF | Initialize space-filling Random Fourier Features |
| initialize_basisfun_inducingpt | Initialize parameters for inducing-point basis functions |
| initialize_basisfun_RFF | Initialize parameters basis functions based on Random Fourier... |
| normalize_data | normalize_data: Normalize data to the range [0, 1] |
| pre_comput_NN | pre_comput_NN: Precompute quantities for SLGP basis... |
| pre_comput_nothing | pre_comput_nothing: Precompute quantities for SLGP basis... |
| pre_comput_WNN | pre_comput_WNN: Precompute quantities for SLGP basis... |
| predictSLGP_cdf | Predict cumulative distribution values at new locations using... |
| predictSLGP_moments | Predict centered or uncentered moments at new locations from... |
| predictSLGP_newNode | Predict densities at new covariate locations using a given... |
| predictSLGP_quantiles | Predict quantiles from a SLGP model at new locations |
| retrainSLGP | Retrain a fitted SLGP model with new data and/or estimation... |
| rosenblatt_transform_multivarStudent | Rosenblatt transform to multivariate Student distribution |
| sampleSLGP | Draw posterior predictive samples from a SLGP model |
| slgp | Define and can train a Spatial Logistic Gaussian Process... |
| SLGP-class | The SLGP S4 Class: Spatial Logistic Gaussian Process Model |
| SLGP-package | SLGP: A package for spatially dependent probability... |
