| argo2016 | Ocean temperatures from Argo profiling floats |
| condition_number | compute condition number of matrix |
| cond_sim | Conditional Simulation using Vecchia's approximation |
| expit | expit function and integral of expit function |
| exponential_anisotropic2D | Geometrically anisotropic exponential covariance function... |
| exponential_anisotropic3D | Geometrically anisotropic exponential covariance function... |
| exponential_anisotropic3D_alt | Geometrically anisotropic exponential covariance function... |
| exponential_isotropic | Isotropic exponential covariance function |
| exponential_nonstat_var | Isotropic exponential covariance function, nonstationary... |
| exponential_scaledim | Exponential covariance function, different range parameter... |
| exponential_spacetime | Spatial-Temporal exponential covariance function |
| exponential_sphere | Isotropic exponential covariance function on sphere |
| exponential_spheretime | Exponential covariance function on sphere x time |
| exponential_spheretime_warp | Deformed exponential covariance function on sphere |
| exponential_sphere_warp | Deformed exponential covariance function on sphere |
| fast_Gp_sim | Approximate GP simulation |
| fast_Gp_sim_Linv | Approximate GP simulation with specified Linverse |
| find_ordered_nn | Find ordered nearest neighbors. |
| find_ordered_nn_brute | Naive brute force nearest neighbor finder |
| fisher_scoring | Fisher scoring algorithm |
| fit_model | Estimate mean and covariance parameters |
| get_linkfun | get link function, whether locations are lonlat and space... |
| get_penalty | get penalty function |
| get_start_parms | get default starting values of covariance parameters |
| GpGp | GpGp: Fast Gaussian Process Computing. |
| group_obs | Automatic grouping (partitioning) of locations |
| jason3 | Windspeed measurements from Jason-3 Satellite |
| Linv_mult | Multiply approximate inverse Cholesky by a vector |
| Linv_t_mult | Multiply transpose of approximate inverse Cholesky by a... |
| L_mult | Multiply approximate Cholesky by a vector |
| L_t_mult | Multiply transpose of approximate Cholesky by a vector |
| matern15_isotropic | Isotropic Matern covariance function, smoothness = 1.5 |
| matern15_scaledim | Matern covariance function, smoothess = 1.5, different range... |
| matern25_isotropic | Isotropic Matern covariance function, smoothness = 2.5 |
| matern25_scaledim | Matern covariance function, smoothess = 2.5, different range... |
| matern35_isotropic | Isotropic Matern covariance function, smoothness = 3.5 |
| matern35_scaledim | Matern covariance function, smoothess = 3.5, different range... |
| matern45_isotropic | Isotropic Matern covariance function, smoothness = 4.5 |
| matern45_scaledim | Matern covariance function, smoothess = 3.5, different range... |
| matern_anisotropic2D | Geometrically anisotropic Matern covariance function (two... |
| matern_anisotropic3D | Geometrically anisotropic Matern covariance function (three... |
| matern_anisotropic3D_alt | Geometrically anisotropic Matern covariance function (three... |
| matern_categorical | Isotropic Matern covariance function with random effects for... |
| matern_isotropic | Isotropic Matern covariance function |
| matern_nonstat_var | Isotropic Matern covariance function, nonstationary variances |
| matern_scaledim | Matern covariance function, different range parameter for... |
| matern_spacetime | Spatial-Temporal Matern covariance function |
| matern_spacetime_categorical | Space-Time Matern covariance function with random effects for... |
| matern_spacetime_categorical_local | Space-Time Matern covariance function with local random... |
| matern_sphere | Isotropic Matern covariance function on sphere |
| matern_spheretime | Matern covariance function on sphere x time |
| matern_spheretime_warp | Deformed Matern covariance function on sphere |
| matern_sphere_warp | Deformed Matern covariance function on sphere |
| order_coordinate | Sorted coordinate ordering |
| order_dist_to_point | Distance to specified point ordering |
| order_maxmin | Maximum minimum distance ordering |
| order_middleout | Middle-out ordering |
| pen_hi | penalize large values of parameter: penalty, 1st deriative,... |
| pen_lo | penalize small values of parameter: penalty, 1st deriative,... |
| pen_loglo | penalize small values of log parameter: penalty, 1st... |
| predictions | Compute Gaussian process predictions using Vecchia's... |
| sph_grad_xyz | compute gradient of spherical harmonics functions |
| summary.GpGp_fit | Print summary of GpGp fit |
| test_likelihood_object | test likelihood object for NA or Inf values |
| vecchia_grouped_meanzero_loglik | Grouped Vecchia approximation to the Gaussian loglikelihood,... |
| vecchia_grouped_profbeta_loglik | Grouped Vecchia approximation, profiled regression... |
| vecchia_grouped_profbeta_loglik_grad_info | Grouped Vecchia loglikelihood, gradient, Fisher information |
| vecchia_Linv | Entries of inverse Cholesky approximation |
| vecchia_meanzero_loglik | Vecchia's approximation to the Gaussian loglikelihood, zero... |
| vecchia_profbeta_loglik | Vecchia's approximation to the Gaussian loglikelihood, with... |
| vecchia_profbeta_loglik_grad_info | Vecchia's loglikelihood, gradient, and Fisher information |
