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

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:	IGP, mlr

Linking:

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