Kriging Methods for Computer Experiments

Estimation, validation and prediction of kriging models. Important functions : km,,,

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This repository is the regular DiceKriging package repository (available at It contains the latest sources, possibly some supplement of stable CRAN release.


You can install the standard (CRAN) version of the code: install.packages("DiceKriging")

You can install the latest (this repository) version of the code:

  • using pre-built packages:
    • Windows: install.packages("")
    • Linux: install.packages("")
    • OSX: install.packages("")
  • or using the devtools R package (assuming you have C compiler installed):
install.packages("devtools") # Install devtools, if you haven't already.
devtools::install_github("DiceKriging", "DiceKrigingClub")



Reference manual

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1.6.0 by Olivier Roustant, 10 months ago

Browse source code at

Authors: Olivier Roustant , David Ginsbourger , Yves Deville. Contributors: Clement Chevalier , Yann Richet.

Documentation:   PDF Manual  

Task views: Design of Experiments (DoE) & Analysis of Experimental Data

GPL-2 | GPL-3 license

Depends on methods

Suggests rgenoud, foreach, doParallel, testthat, numDeriv

Imported by LSDsensitivity, ParBayesianOptimization, SAVE, TAG, aRchi, grf, mistral, moko, pGPx, tuneRanger.

Depended on by DiceEval, DiceOptim, DiceView, GPareto, KrigInv, MuFiCokriging, fanovaGraph, profExtrema.

Suggested by IGP, activegp, anMC, comparer, kergp, mistat, mlr, mlr3learners, mlrMBO, mlrintermbo, mosmafs, sensitivity, tramnet, varycoef.

See at CRAN