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r-robustgasp

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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.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-robustgasp

Usage Tracking

0.5.7
1 / 8 versions selected
Total downloads: 0

About

Summary

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.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2 | GPL-3

Total Downloads

3

Platforms

Linux 64 Version: 0.5.7
Win 64 Version: 0.5.7
macOS 64 Version: 0.5.7