KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments (original) (raw)

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

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