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CGP  

Composite Gaussian Process Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CGP", "2.1-1")



Attach the package and use:
library("CGP")
Maintained by
Shan Ba
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-08
Latest Update: 2018-06-12
Description:
Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary. Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.
How to cite:
Shan Ba (2012). CGP: Composite Gaussian Process Models. R package version 2.1-1, https://cran.r-project.org/web/packages/CGP. Accessed 17 Jul. 2026.
Previous versions and publish date:
1.6-2 (2012-08-08 20:54), 2.0-2 (2014-09-21 07:43), (2026-07-09 07:59)
Other packages that cited CGP R package
View CGP citation profile
Other R packages that CGP depends, imports, suggests or enhances
Complete documentation for CGP
Functions, R codes and Examples using the CGP R package
Some associated functions: CGP-package . CGP . plotCGP . predict.CGP . print.CGP . summary.CGP . 
Some associated R codes: CGP.R . plotCGP.R . predict.CGP.R . print.CGP.R . summary.CGP.R .  Full CGP package functions and examples
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