Nothing
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.
Package details |
|
---|---|
Author | Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut] |
Maintainer | Mengyang Gu <mengyang@pstat.ucsb.edu> |
License | GPL-2 | GPL-3 |
Version | 0.6.6 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.