GpGp                    GpGp: Fast Gaussian Process Computing.
L_mult                  Multiply approximate Cholesky by a vector
L_t_mult                Multiply transpose of approximate Cholesky by a
                        vector
Linv_mult               Multiply approximate inverse Cholesky by a
                        vector
Linv_t_mult             Multiply transpose of approximate inverse
                        Cholesky by a vector
argo2016                Ocean temperatures from Argo profiling floats
cond_sim                Conditional Simulation using Vecchia's
                        approximation
condition_number        compute condition number of matrix
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_anisotropic3D_alt
                        Geometrically anisotropic exponential
                        covariance function (three dimensions,
                        alternate parameterization)
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_sphere_warp
                        Deformed exponential covariance function on
                        sphere
exponential_spheretime
                        Exponential covariance function on sphere x
                        time
exponential_spheretime_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
group_obs               Automatic grouping (partitioning) of locations
jason3                  Windspeed measurements from Jason-3 Satellite
matern15_isotropic      Isotropic Matern covariance function,
                        smoothness = 1.5
matern15_scaledim       Matern covariance function, smoothess = 1.5,
                        different range parameter for each dimension
matern25_isotropic      Isotropic Matern covariance function,
                        smoothness = 2.5
matern25_scaledim       Matern covariance function, smoothess = 2.5,
                        different range parameter for each dimension
matern35_isotropic      Isotropic Matern covariance function,
                        smoothness = 3.5
matern35_scaledim       Matern covariance function, smoothess = 3.5,
                        different range parameter for each dimension
matern45_isotropic      Isotropic Matern covariance function,
                        smoothness = 4.5
matern45_scaledim       Matern covariance function, smoothess = 3.5,
                        different range parameter for each dimension
matern_anisotropic2D    Geometrically anisotropic Matern covariance
                        function (two dimensions)
matern_anisotropic3D    Geometrically anisotropic Matern covariance
                        function (three dimensions)
matern_anisotropic3D_alt
                        Geometrically anisotropic Matern covariance
                        function (three dimensions, alternate
                        parameterization)
matern_categorical      Isotropic Matern covariance function with
                        random effects for categories
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_spacetime_categorical
                        Space-Time Matern covariance function with
                        random effects for categories
matern_spacetime_categorical_local
                        Space-Time Matern covariance function with
                        local random effects for categories
matern_sphere           Isotropic Matern covariance function on sphere
matern_sphere_warp      Deformed Matern covariance function on sphere
matern_spheretime       Matern covariance function on sphere x time
matern_spheretime_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_Linv            Entries of inverse Cholesky approximation
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_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
