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.
Version: |
0.6.5 |
Depends: |
R (≥ 3.5.0), methods |
Imports: |
Rcpp (≥ 0.12.3), nloptr (≥ 1.0.4) |
LinkingTo: |
Rcpp, RcppEigen |
Published: |
2022-06-01 |
Author: |
Mengyang Gu [aut, cre],
Jesus Palomo [aut],
James Berger [aut] |
Maintainer: |
Mengyang Gu <mengyang at pstat.ucsb.edu> |
License: |
GPL-2 | GPL-3 |
NeedsCompilation: |
yes |
Materials: |
ChangeLog |
CRAN checks: |
RobustGaSP results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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