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DynamicGP  

Modelling and Analysis of Dynamic Computer Experiments
View on CRAN: Click here


Download and install DynamicGP package within the R console
Install from CRAN:
install.packages("DynamicGP")

Install from Github:
library("remotes")
install_github("cran/DynamicGP")

Install by package version:
library("remotes")
install_version("DynamicGP", "1.1-9")



Attach the package and use:
library("DynamicGP")
Maintained by
Ru Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-13
Latest Update: 2022-11-08
Description:
Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) ; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
How to cite:
Ru Zhang (2018). DynamicGP: Modelling and Analysis of Dynamic Computer Experiments. R package version 1.1-9, https://cran.r-project.org/web/packages/DynamicGP. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-1 (2018-04-13 19:28), 1.0-2 (2018-04-18 11:45), 1.1-1 (2018-10-17 20:40), 1.1-2 (2019-01-03 06:20), 1.1-3 (2019-07-09 13:50), 1.1-4 (2019-07-15 23:40), 1.1-5 (2019-11-19 06:20), 1.1-6 (2020-04-19 11:00), 1.1-7 (2021-08-09 23:00), 1.1-8 (2022-04-12 09:22), 1.1-9 (2022-11-08 11:10)
Other packages that cited DynamicGP R package
View DynamicGP citation profile
Other R packages that DynamicGP depends, imports, suggests or enhances
Complete documentation for DynamicGP
Functions, R codes and Examples using the DynamicGP R package
Some associated functions: DynamicGP-package . ESL2D . SL2D . knnsvdGP . lasvdGP . saEI . svdGP . 
Some associated R codes: Full DynamicGP package functions and examples
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