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GPfit: Gaussian Processes Modeling

A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.

Version: 1.0-8
Imports: lhs (≥ 0.5), lattice (≥ 0.18-8)
Suggests: testthat
Published: 2019-02-08
DOI: 10.32614/CRAN.package.GPfit
Author: Blake MacDoanld [aut], Hugh Chipman [aut, cre], Chris Campbell [ctb], Pritam Ranjan [aut]
Maintainer: Hugh Chipman <hugh.chipman at acadiau.ca>
License: GPL-2
NeedsCompilation: no
Citation: GPfit citation info
Materials: NEWS
CRAN checks: GPfit results

Documentation:

Reference manual: GPfit.pdf

Downloads:

Package source: GPfit_1.0-8.tar.gz
Windows binaries: r-devel: GPfit_1.0-8.zip, r-release: GPfit_1.0-8.zip, r-oldrel: GPfit_1.0-8.zip
macOS binaries: r-release (arm64): GPfit_1.0-8.tgz, r-oldrel (arm64): GPfit_1.0-8.tgz, r-release (x86_64): GPfit_1.0-8.tgz, r-oldrel (x86_64): GPfit_1.0-8.tgz
Old sources: GPfit archive

Reverse dependencies:

Reverse imports: binaryGP, calibrateBinary, rBayesianOptimization, tune
Reverse suggests: mlr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GPfit to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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