CRAN/E | CGGP

CGGP

Composite Grid Gaussian Processes

Installation

About

Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.

github.com/CollinErickson/CGGP
Bug report File report

Key Metrics

Version 1.0.4
Published 2024-01-23 88 days ago
Needs compilation? yes
License GPL-3
CRAN checks CGGP results

Downloads

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Maintainer

Maintainer

Collin Erickson

collinberickson@gmail.com

Authors

Collin Erickson

aut / cre

Matthew Plumlee

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

CGGP

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CGGP archive

Imports

Rcpp ≥ 0.12.18

Suggests

testthat
covr
ggplot2
reshape2
plyr
MASS
rmarkdown
knitr

LinkingTo

Rcpp
RcppArmadillo