Package: CGP 2.1-1

CGP: Composite Gaussian Process Models

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.

Authors:Shan Ba and V. Roshan Joseph

CGP_2.1-1.tar.gz
CGP_2.1-1.zip(r-4.5)CGP_2.1-1.zip(r-4.4)CGP_2.1-1.zip(r-4.3)
CGP_2.1-1.tgz(r-4.5-any)CGP_2.1-1.tgz(r-4.4-any)CGP_2.1-1.tgz(r-4.3-any)
CGP_2.1-1.tar.gz(r-4.5-noble)CGP_2.1-1.tar.gz(r-4.4-noble)
CGP_2.1-1.tgz(r-4.4-emscripten)CGP_2.1-1.tgz(r-4.3-emscripten)
CGP.pdf |CGP.html
CGP/json (API)

# Install 'CGP' in R:
install.packages('CGP', repos = c('https://shanbatr.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 9 scripts 198 downloads 15 mentions 2 exports 0 dependencies

Last updated 7 years agofrom:05bcbe3b54. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winOKMar 30 2025
R-4.5-macOKMar 30 2025
R-4.5-linuxOKMar 30 2025
R-4.4-winOKMar 30 2025
R-4.4-macOKMar 30 2025
R-4.4-linuxOKMar 30 2025
R-4.3-winOKMar 30 2025
R-4.3-macOKMar 30 2025

Exports:CGPplotCGP

Dependencies: