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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: | 0.6.6 |
Depends: | R (≥ 3.5.0), methods |
Imports: | Rcpp (≥ 0.12.3), nloptr (≥ 1.0.4) |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2024-02-09 |
DOI: | 10.32614/CRAN.package.RobustGaSP |
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 |
Reference manual: | RobustGaSP.pdf |
Package source: | RobustGaSP_0.6.6.tar.gz |
Windows binaries: | r-devel: RobustGaSP_0.6.6.zip, r-release: RobustGaSP_0.6.6.zip, r-oldrel: RobustGaSP_0.6.6.zip |
macOS binaries: | r-release (arm64): RobustGaSP_0.6.6.tgz, r-oldrel (arm64): RobustGaSP_0.6.6.tgz, r-release (x86_64): RobustGaSP_0.6.6.tgz, r-oldrel (x86_64): RobustGaSP_0.6.6.tgz |
Old sources: | RobustGaSP archive |
Reverse imports: | RobustCalibration |
Reverse suggests: | rlibkriging |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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