The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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:

Please use the canonical form https://CRAN.R-project.org/package=KrigInv 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.
Health stats visible at Monitor.