Man pages for GpGp
Fast Gaussian Process Computation Using Vecchia's Approximation

argo2016Ocean temperatures from Argo profiling floats
condition_numbercompute condition number of matrix
cond_simConditional Simulation using Vecchia's approximation
expitexpit function and integral of expit function
exponential_anisotropic2DGeometrically anisotropic exponential covariance function...
exponential_anisotropic3DGeometrically anisotropic exponential covariance function...
exponential_isotropicIsotropic exponential covariance function
exponential_nonstat_varIsotropic exponential covariance function, nonstationary...
exponential_scaledimExponential covariance function, different range parameter...
exponential_spacetimeSpatial-Temporal exponential covariance function
exponential_sphereIsotropic exponential covariance function on sphere
exponential_spheretimeExponential covariance function on sphere x time
exponential_spheretime_warpDeformed exponential covariance function on sphere
exponential_sphere_warpDeformed exponential covariance function on sphere
fast_Gp_simApproximate GP simulation
fast_Gp_sim_LinvApproximate GP simulation with specified Linverse
find_ordered_nnFind ordered nearest neighbors.
find_ordered_nn_bruteNaive brute force nearest neighbor finder
fisher_scoringFisher scoring algorithm
fit_modelEstimate mean and covariance parameters
get_linkfunget link function, whether locations are lonlat and space...
get_penaltyget penalty function
get_start_parmsget default starting values of covariance parameters
GpGpGpGp: Fast Gaussian Process Computing.
group_obsAutomatic grouping (partitioning) of locations
jason3Windspeed measurements from Jason-3 Satellite
Linv_multMultiply approximate inverse Cholesky by a vector
Linv_t_multMultiply transpose of approximate inverse Cholesky by a...
L_multMultiply approximate Cholesky by a vector
L_t_multMultiply transpose of approximate Cholesky by a vector
matern15_isotropicIsotropic Matern covariance function, smoothness = 1.5
matern15_scaledimMatern covariance function, smoothess = 1.5, different range...
matern25_isotropicIsotropic Matern covariance function, smoothness = 2.5
matern25_scaledimMatern covariance function, smoothess = 2.5, different range...
matern35_isotropicIsotropic Matern covariance function, smoothness = 3.5
matern35_scaledimMatern covariance function, smoothess = 3.5, different range...
matern45_isotropicIsotropic Matern covariance function, smoothness = 4.5
matern45_scaledimMatern covariance function, smoothess = 3.5, different range...
matern_anisotropic2DGeometrically anisotropic Matern covariance function (two...
matern_anisotropic3DGeometrically anisotropic Matern covariance function (three...
matern_isotropicIsotropic Matern covariance function
matern_nonstat_varIsotropic Matern covariance function, nonstationary variances
matern_scaledimMatern covariance function, different range parameter for...
matern_spacetimeSpatial-Temporal Matern covariance function
matern_sphereIsotropic Matern covariance function on sphere
matern_spheretimeMatern covariance function on sphere x time
matern_spheretime_warpDeformed Matern covariance function on sphere
matern_sphere_warpDeformed Matern covariance function on sphere
order_coordinateSorted coordinate ordering
order_dist_to_pointDistance to specified point ordering
order_maxminMaximum minimum distance ordering
order_middleoutMiddle-out ordering
pen_hipenalize large values of parameter: penalty, 1st deriative,...
pen_lopenalize small values of parameter: penalty, 1st deriative,...
pen_loglopenalize small values of log parameter: penalty, 1st...
predictionsCompute Gaussian process predictions using Vecchia's...
sph_grad_xyzcompute gradient of spherical harmonics functions
summary.GpGp_fitPrint summary of GpGp fit
test_likelihood_objecttest likelihood object for NA or Inf values
vecchia_grouped_meanzero_loglikGrouped Vecchia approximation to the Gaussian loglikelihood,...
vecchia_grouped_profbeta_loglikGrouped Vecchia approximation, profiled regression...
vecchia_grouped_profbeta_loglik_grad_infoGrouped Vecchia loglikelihood, gradient, Fisher information
vecchia_LinvEntries of inverse Cholesky approximation
vecchia_meanzero_loglikVecchia's approximation to the Gaussian loglikelihood, zero...
vecchia_profbeta_loglikVecchia's approximation to the Gaussian loglikelihood, with...
vecchia_profbeta_loglik_grad_infoVecchia's loglikelihood, gradient, and Fisher information
GpGp documentation built on July 12, 2020, 9:06 a.m.