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>
License: GPL-2
NeedsCompilation: no
Citation: GPfit citation info
Materials: NEWS
CRAN checks: GPfit results


Reference manual: GPfit.pdf


Package source: GPfit_1.0-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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