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. The methods are described in Chevalier, Picheny and Ginsbourger (2014) and Azzimonti, Ginsbourger, Chevalier, Bect and Richet (2021) .

Reference manual

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install.packages("KrigInv")

1.4.3 by Dario Azzimonti, a day ago

https://github.com/KrigInvTeam/KrigInv

Report a bug at https://github.com/KrigInvTeam/KrigInv/issues

Browse source code at https://github.com/cran/KrigInv

Authors: Clement Chevalier [aut] , Dario Azzimonti [aut, cre] (ORCID: , David Ginsbourger [aut] (ORCID: , Victor Picheny [aut] , Yann Richet [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports randtoolbox, rgenoud, pbivnorm, anMC, mvtnorm

Depends on DiceKriging

Suggests testthat

Imported by ARCHISSUR, GPGame, GPareto, pGPx.

Depended on by profExtrema.

Suggested by DiceOptim, mistral.

See at CRAN

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