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
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

Downloads:

Reference manual: GPfit.pdf
Package source: GPfit_1.0-8.tar.gz
Windows binaries: r-devel: GPfit_1.0-8.zip, r-devel-gcc8: GPfit_1.0-8.zip, r-release: GPfit_1.0-8.zip, r-oldrel: GPfit_1.0-8.zip
OS X binaries: r-release: GPfit_1.0-8.tgz, r-oldrel: GPfit_1.0-8.tgz
Old sources: GPfit archive

Reverse dependencies:

Reverse imports: binaryGP, calibrateBinary, phylocurve, rBayesianOptimization
Reverse suggests: IGP, mlr

Linking:

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