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EzGP
View on CRAN: Click
here
Download and install EzGP package within the R console
Install from CRAN:
install.packages("EzGP")
Install from Github:
library("remotes")
install_github("cran/EzGP")
Install by package version:
library("remotes")
install_version("EzGP", "0.1.0")
Attach the package and use:
library("EzGP")
Maintained by
Jiayi Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-06
Latest Update: 2023-07-06
Description:
Fit model for datasets with easy-to-interpret Gaussian process modeling, predict responses for new inputs.
The input variables of the datasets can be quantitative, qualitative/categorical or mixed.
The output variable of the datasets is a scalar (quantitative).
The optimization of the likelihood function can be chosen by the users (see the documentation of EzGP_fit()).
The modeling method is published in "EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors"
by Qian Xiao, Abhyuday Mandal, C. Devon Lin, and Xinwei Deng (2022) .
How to cite:
Jiayi Li (2023). EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments. R package version 0.1.0, https://cran.r-project.org/web/packages/EzGP
Previous versions and publish date:
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