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RobustGaSP
View on CRAN: Click
here
Download and install RobustGaSP package within the R console
Install from CRAN:
install.packages("RobustGaSP")
Install from Github:
library("remotes")
install_github("cran/RobustGaSP") Install by package version:
library("remotes")
install_version("RobustGaSP", "0.6.8") Attach the package and use:
library("RobustGaSP")
Maintained by
Mengyang Gu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-24
Latest Update: 2025-06-10
Description:
Robust parameter estimation and prediction of Gaussian stochastic
process emulators. It allows for robust parameter estimation and prediction using
Gaussian stochastic process emulator. It also implements the parallel partial
Gaussian stochastic process emulator for computer model with massive outputs
See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics;
Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
How to cite:
Mengyang Gu (2016). RobustGaSP: Robust Gaussian Stochastic Process Emulation. R package version 0.6.8, https://cran.r-project.org/web/packages/RobustGaSP. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 0.5.2 (2016-09-17 00:46), 0.5.3 (2017-01-27 18:52), 0.5.4 (2018-01-03 23:10), 0.5.5 (2018-03-27 22:46), 0.5.6 (2018-09-11 10:10), 0.5.7 (2019-06-05 20:20), 0.5 (2016-07-24 01:23), 0.6.0 (2020-07-09 14:30), 0.6.1 (2020-10-15 07:00), 0.6.2 (2021-05-17 09:40), 0.6.3 (2021-09-03 02:10), 0.6.4 (2022-01-05 04:30), 0.6.5 (2022-06-01 09:20), 0.6.6 (2024-02-09 01:30)
Other packages that cited RobustGaSP R package
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Other R packages that RobustGaSP depends,
imports, suggests or enhances
Complete documentation for RobustGaSP
Functions, R codes and Examples using
the RobustGaSP R package
Some associated functions: RobustGaSP-package . Sample.rgasp . as.S3prediction . as.S4prediction . borehole . construct_ppgasp . construct_rgasp . dettepepel.3.data . environ.4.data . euclidean_distance . findInertInputs . friedman.5.data . generate_predictive_mean_cov . higdon.1.data . humanity_model . leave_one_out_rgasp . limetal.2.data . log_approx_ref_prior . log_approx_ref_prior_deriv . log_marginal_lik . log_marginal_lik_deriv . log_marginal_lik_deriv_ppgasp . log_marginal_lik_ppgasp . log_profile_lik . log_profile_lik_deriv . log_profile_lik_deriv_ppgasp . log_profile_lik_ppgasp . log_ref_marginal_post . log_ref_marginal_post_ppgasp . matern_3_2_deriv . matern_3_2_funct . matern_5_2_deriv . matern_5_2_funct . neg_log_marginal_post_approx_ref . neg_log_marginal_post_approx_ref_deriv . neg_log_marginal_post_approx_ref_deriv_ppgasp . neg_log_marginal_post_approx_ref_ppgasp . neg_log_marginal_post_ref . neg_log_marginal_post_ref_ppgasp . periodic_exp_deriv . periodic_exp_funct . periodic_gauss_deriv . periodic_gauss_funct . plot.rgasp . pow_exp_deriv . pow_exp_funct . ppgasp-class . ppgasp . pred_rgasp . predict.ppgasp . predict.rgasp . predppgasp-class . predrgasp-class . rgasp-class . rgasp . search_LB_prob . separable_kernel . separable_multi_kernel . show.ppgasp . show.rgasp . simulate.rgasp .
Some associated R codes: RcppExports.R . functions.R . onAtUn.R . plot.rgasp.R . ppgasp.R . predict.R . rgasp.R . simulate.R . structure.R . Full RobustGaSP package functions and examples
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