Nothing
dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations
Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and Ming, Williamson, & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and Ming & Williamson (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, see <https://mingdeyu.github.io/dgpsi-R/>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Deyu Ming [aut, cre, cph], Daniel Williamson [aut] |
| Maintainer | Deyu Ming <deyu.ming.16@ucl.ac.uk> |
| License | MIT + file LICENSE |
| Version | 2.5.0 |
| URL | https://github.com/mingdeyu/dgpsi-R https://mingdeyu.github.io/dgpsi-R/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the dgpsi package in your browser
Any scripts or data that you put into this service are public.
