Package: RobustGaSP 0.6.6

RobustGaSP: Robust Gaussian Stochastic Process Emulation

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.

Authors:Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]

RobustGaSP_0.6.6.tar.gz
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RobustGaSP.pdf |RobustGaSP.html✨
RobustGaSP/json (API)

# Install 'RobustGaSP' in R:
install.packages('RobustGaSP', repos = c('https://uncertaintyquantification.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

50 exports 0.82 score 3 dependencies 1 dependents 1 mentions 73 scripts 771 downloads

Last updated 7 months agofrom:1c022ae8c5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-win-x86_64OKSep 06 2024
R-4.5-linux-x86_64OKSep 06 2024
R-4.4-win-x86_64OKSep 06 2024
R-4.4-mac-x86_64OKSep 06 2024
R-4.4-mac-aarch64OKSep 06 2024
R-4.3-win-x86_64OKSep 06 2024
R-4.3-mac-x86_64OKSep 06 2024
R-4.3-mac-aarch64OKSep 06 2024

Exports:as.S3predictionas.S4prediction.predictboreholeconstruct_ppgaspdettepepel.3.dataenviron.4.dataeuclidean_distancefindInertInputsfriedman.5.datahigdon.1.dataleave_one_out_rgasplimetal.2.datalog_approx_ref_priorlog_approx_ref_prior_derivlog_marginal_liklog_marginal_lik_derivlog_marginal_lik_deriv_ppgasplog_marginal_lik_ppgasplog_profile_liklog_profile_lik_derivlog_profile_lik_deriv_ppgasplog_profile_lik_ppgasplog_ref_marginal_postlog_ref_marginal_post_ppgaspmatern_3_2_derivmatern_3_2_functmatern_5_2_derivmatern_5_2_functneg_log_marginal_post_approx_ref_deriv_ppgaspneg_log_marginal_post_approx_ref_ppgaspneg_log_marginal_post_refneg_log_marginal_post_ref_ppgaspperiodic_exp_derivperiodic_exp_functperiodic_gauss_derivperiodic_gauss_functplotpow_exp_derivpow_exp_functppgasppred_rgasppredictpredict.ppgasppredict.rgasprgaspSampleseparable_kernelseparable_multi_kernelshowsimulate

Dependencies:nloptrRcppRcppEigen

Readme and manuals

Help Manual

Help pageTopics
Robust Gaussian Stochastic Process EmulationRobustGaSP-package RobustGaSP
find inert inputs with the posterior modefindInertInputs
data from the humanity modelhumanity.X humanity.Xt humanity.Y humanity.Yt
leave-one-out fitted values and standard deviation for robust GaSP modelleave_one_out_rgasp
Plot for Robust GaSP modelplot plot,rgasp-method plot.rgasp
Setting up the parallel partial GaSP modelppgasp ppgasp-method
PP GaSP classppgasp-class
Prediction for PP GaSP modelpredict,ppgasp-method predict.ppgasp predict.ppgasp-class
Prediction for Robust GaSP modelpredict predict,rgasp-method predict.rgasp predict.rgasp-class
Predicted PP GaSP classpredppgasp-class
Predictive robust GaSP classpredrgasp-class
Setting up the robust GaSP modelrgasp rgasp-method
Robust GaSP classrgasp-class
Show Robust GaSP objectshow show,rgasp-method show.rgasp show.rgasp-class
Show parllel partial Gaussian stochastic process (PP GaSP) objectshow,ppgasp-method show.ppgasp show.ppgasp-class
Sample for Robust GaSP modelsimulate simulate,rgasp-method simulate.rgasp simulate.rgasp-class