# Fast Gaussian Process Computation Using Vecchia's Approximation

## Documentation for package ‘GpGp’ version 0.2.1

- DESCRIPTION file.

## Help Pages

GpGp-package | GpGp: Fast Gaussian Process Computing.
argo2016 | Ocean temperatures from Argo profiling floats
condition_number | compute condition number of matrix
cond_sim | Conditional Simulation using Vecchia's approximation
ddpen_hi | penalize large values of parameter: penalty, 1st deriative, 2nd derivative
ddpen_lo | penalize small values of parameter: penalty, 1st deriative, 2nd derivative
ddpen_loglo | penalize small values of log parameter: penalty, 1st deriative, 2nd derivative
dpen_hi | penalize large values of parameter: penalty, 1st deriative, 2nd derivative
dpen_lo | penalize small values of parameter: penalty, 1st deriative, 2nd derivative
dpen_loglo | penalize small values of log parameter: penalty, 1st deriative, 2nd derivative
d_exponential_anisotropic2D | Geometrically anisotropic exponential covariance function (two dimensions)
d_exponential_anisotropic3D | Geometrically anisotropic exponential covariance function (three dimensions)
d_exponential_isotropic | Isotropic exponential covariance function
d_exponential_nonstat_var | Isotropic exponential covariance function, nonstationary variances
d_exponential_scaledim | Exponential covariance function, different range parameter for each dimension
d_exponential_spacetime | Spatial-Temporal exponential covariance function
d_exponential_sphere | Isotropic exponential covariance function on sphere
d_exponential_spheretime | Exponential covariance function on sphere x time
d_exponential_spheretime_warp | Deformed exponential covariance function on sphere
d_exponential_sphere_warp | Deformed exponential covariance function on sphere
d_matern_anisotropic2D | Geometrically anisotropic Matern covariance function (two dimensions)
d_matern_anisotropic3D | Geometrically anisotropic Matern covariance function (three dimensions)
d_matern_isotropic | Isotropic Matern covariance function
d_matern_nonstat_var | Isotropic Matern covariance function, nonstationary variances
d_matern_scaledim | Matern covariance function, different range parameter for each dimension
d_matern_spacetime | Spatial-Temporal Matern covariance function
d_matern_sphere | Isotropic Matern covariance function on sphere
d_matern_spheretime | Matern covariance function on sphere x time
d_matern_spheretime_warp | Deformed Matern covariance function on sphere
d_matern_sphere_warp | Deformed Matern covariance function on sphere
expit | expit function and integral of expit function
exponential_anisotropic2D | Geometrically anisotropic exponential covariance function (two dimensions)
exponential_anisotropic3D | Geometrically anisotropic exponential covariance function (three dimensions)
exponential_isotropic | Isotropic exponential covariance function
exponential_nonstat_var | Isotropic exponential covariance function, nonstationary variances
exponential_scaledim | Exponential covariance function, different range parameter for each dimension
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 time
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
intexpit | expit function and integral of expit function
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 vector
L_mult | Multiply approximate Cholesky by a vector
L_t_mult | Multiply transpose of approximate Cholesky by a vector
matern_anisotropic2D | Geometrically anisotropic Matern covariance function (two dimensions)
matern_anisotropic3D | Geometrically anisotropic Matern covariance function (three dimensions)
matern_isotropic | Isotropic Matern covariance function
matern_nonstat_var | Isotropic Matern covariance function, nonstationary variances
matern_scaledim | Matern covariance function, different range parameter for each dimension
matern_spacetime | Spatial-Temporal Matern covariance function
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, 2nd derivative
pen_lo | penalize small values of parameter: penalty, 1st deriative, 2nd derivative
pen_loglo | penalize small values of log parameter: penalty, 1st deriative, 2nd derivative
predictions | Compute Gaussian process predictions using Vecchia's approximations
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, zero mean
vecchia_grouped_profbeta_loglik | Grouped Vecchia approximation, profiled regression coefficients
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 mean
vecchia_profbeta_loglik | Vecchia's approximation to the Gaussian loglikelihood, with profiled regression coefficients.
vecchia_profbeta_loglik_grad_info | Vecchia's loglikelihood, gradient, and Fisher information