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: 1.4.1
Depends: DiceKriging
Imports: randtoolbox, rgenoud, pbivnorm, anMC, mvtnorm
Suggests: testthat
Published: 2018-09-11
Author: Clement Chevalier, Victor Picheny, David Ginsbourger and Dario Azzimonti
Maintainer: Clement Chevalier <clement.chevalier at unine.ch>
License: GPL-3
URL: https://www.sciencedirect.com/science/article/pii/S0167947313001060, http://www.clementchevalier.com
NeedsCompilation: no
CRAN checks: KrigInv results

Downloads:

Reference manual: KrigInv.pdf
Package source: KrigInv_1.4.1.tar.gz
Windows binaries: r-devel: KrigInv_1.4.1.zip, r-release: KrigInv_1.4.1.zip, r-oldrel: KrigInv_1.4.1.zip
macOS binaries: r-release (arm64): KrigInv_1.4.1.tgz, r-release (x86_64): KrigInv_1.4.1.tgz, r-oldrel: KrigInv_1.4.1.tgz
Old sources: KrigInv archive

Reverse dependencies:

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

Linking:

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