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KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments

Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.

Version: 1.4.2
Depends: DiceKriging
Imports: randtoolbox, rgenoud, pbivnorm, anMC, mvtnorm
Suggests: testthat
Published: 2022-09-09
DOI: 10.32614/CRAN.package.KrigInv
Author: Clement Chevalier [aut], Dario Azzimonti ORCID iD [aut, cre], David Ginsbourger ORCID iD [aut], Victor Picheny ORCID iD [aut], Yann Richet ORCID iD [ctb]
Maintainer: Dario Azzimonti <dario.azzimonti at gmail.com>
License: GPL-3
URL: https://doi.org/10.1016/j.csda.2013.03.008
NeedsCompilation: no
CRAN checks: KrigInv results

Documentation:

Reference manual: KrigInv.pdf

Downloads:

Package source: KrigInv_1.4.2.tar.gz
Windows binaries: r-devel: KrigInv_1.4.2.zip, r-release: KrigInv_1.4.2.zip, r-oldrel: KrigInv_1.4.2.zip
macOS binaries: r-release (arm64): KrigInv_1.4.2.tgz, r-oldrel (arm64): KrigInv_1.4.2.tgz, r-release (x86_64): KrigInv_1.4.2.tgz, r-oldrel (x86_64): KrigInv_1.4.2.tgz
Old sources: KrigInv archive

Reverse dependencies:

Reverse depends: profExtrema
Reverse imports: GPareto, GPGame, pGPx
Reverse suggests: DiceOptim, mistral

Linking:

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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.