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GpGp
View on CRAN: Click
here
Download and install GpGp package within the R console
Install from CRAN:
install.packages("GpGp")
Install from Github:
library("remotes")
install_github("cran/GpGp") Install by package version:
library("remotes")
install_version("GpGp", "1.0.0") Attach the package and use:
library("GpGp")
Maintained by
Joseph Guinness
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-19
Latest Update: 2024-10-16
Description:
Functions for fitting and doing predictions with
Gaussian process models using Vecchia's (1988) approximation.
Package also includes functions for reordering input locations,
finding ordered nearest neighbors (with help from 'FNN' package),
grouping operations, and conditional simulations.
Covariance functions for spatial and spatial-temporal data
on Euclidean domains and spheres are provided. The original
approximation is due to Vecchia (1988)
, and the reordering and
grouping methods are from Guinness (2018)
.
Model fitting employs a Fisher scoring algorithm described
in Guinness (2019) .
How to cite:
Joseph Guinness (2018). GpGp: Fast Gaussian Process Computation Using Vecchia's Approximation. R package version 1.0.0, https://cran.r-project.org/web/packages/GpGp. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2018-02-19 11:14), 0.1.1 (2019-01-30 10:20), 0.2.0 (2019-06-29 14:40), 0.2.1 (2019-07-09 16:40), 0.2.2 (2020-07-12 07:30), 0.3.0 (2020-10-03 07:10), 0.3.1 (2020-10-17 06:40), 0.3.2 (2021-01-27 22:30), 0.4.0 (2021-06-09 23:40), 0.5.0 (2024-02-19 00:00), 0.5.1 (2024-10-16 06:30), (2026-07-09 08:06)
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Other R packages that GpGp depends,
imports, suggests or enhances
Complete documentation for GpGp
Functions, R codes and Examples using
the GpGp R package
Some associated functions: GpGp . L_mult . L_t_mult . Linv_mult . Linv_t_mult . argo2016 . cond_sim . condition_number . expit . exponential_anisotropic2D . exponential_anisotropic3D . exponential_anisotropic3D_alt . exponential_isotropic . exponential_nonstat_var . exponential_scaledim . exponential_spacetime . exponential_sphere . exponential_sphere_warp . exponential_spheretime . exponential_spheretime_warp . fast_Gp_sim . fast_Gp_sim_Linv . find_ordered_nn . find_ordered_nn_brute . fisher_scoring . fit_model . get_linkfun . get_penalty . get_start_parms . group_obs . jason3 . matern15_isotropic . matern15_scaledim . matern25_isotropic . matern25_scaledim . matern35_isotropic . matern35_scaledim . matern45_isotropic . matern45_scaledim . matern_anisotropic2D . matern_anisotropic3D . matern_anisotropic3D_alt . matern_categorical . matern_isotropic . matern_nonstat_var . matern_scaledim . matern_spacetime . matern_spacetime_categorical . matern_spacetime_categorical_local . matern_sphere . matern_sphere_warp . matern_spheretime . matern_spheretime_warp . order_coordinate . order_dist_to_point . order_maxmin . order_middleout . pen_hi . pen_lo . pen_loglo . predictions . sph_grad_xyz . summary.GpGp_fit . test_likelihood_object . vecchia_Linv . vecchia_grouped_meanzero_loglik . vecchia_grouped_profbeta_loglik . vecchia_grouped_profbeta_loglik_grad_info . vecchia_meanzero_loglik . vecchia_profbeta_loglik . vecchia_profbeta_loglik_grad_info .
Some associated R codes: GpGp.R . RcppExports.R . Rcpp_doc.R . argo2016.R . fisher_scoring.R . fit_model.R . jason3.R . nearest_neighbor_functions.R . ordering_functions.R . penalties.R . predictions.R . simulation_functions.R . Full GpGp package functions and examples
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