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: 0.5.7
Depends: R (≥ 3.5.0), methods
Imports: Rcpp (≥ 0.12.3), nloptr (≥ 1.0.4)
LinkingTo: Rcpp, RcppEigen
Published: 2019-06-05
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mgu6 at jhu.edu>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: RobustGaSP results

Downloads:

Reference manual: RobustGaSP.pdf
Package source: RobustGaSP_0.5.7.tar.gz
Windows binaries: r-devel: RobustGaSP_0.5.7.zip, r-release: RobustGaSP_0.5.7.zip, r-oldrel: RobustGaSP_0.5.6.zip
OS X binaries: r-release: RobustGaSP_0.5.7.tgz, r-oldrel: RobustGaSP_0.5.6.tgz
Old sources: RobustGaSP archive

Reverse dependencies:

Reverse imports: FastGaSP, RobustCalibration

Linking:

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