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r-robustgasp

Anaconda Verified

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::r-robustgasp

Usage Tracking

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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.

Last Updated

Jan 16, 2024 at 21:32

License

GPL-2 | GPL-3

Total Downloads

401

Supported Platforms

linux-64

Unsupported Platforms

macOS-64 Last supported version: 0.5.7
win-64 Last supported version: 0.5.7