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RobustGaSP  

Robust Gaussian Stochastic Process Emulation
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", "0.6.6")



Attach the package and use:
library("RobustGaSP")
Maintained by
Mengyang Gu
[Scholar Profile | Author Map]
First Published: 2016-07-24
Latest Update: 2024-02-09
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 0.6.6, https://cran.r-project.org/web/packages/RobustGaSP. Accessed 26 Mar. 2025.
Previous versions and publish date:
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)
Other packages that cited RobustGaSP R package
View RobustGaSP citation profile
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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