DiceKriging: Kriging Methods for Computer Experiments

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

Version: 1.6.0
Depends: methods
Suggests: rgenoud (≥ 5.8-2.0), foreach, doParallel, testthat, numDeriv
Published: 2021-02-23
Author: Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
Maintainer: Olivier Roustant <roustant at insa-toulouse.fr>
License: GPL-2 | GPL-3
URL: https://dicekrigingclub.github.io/www/
NeedsCompilation: yes
Citation: DiceKriging citation info
Materials: README ChangeLog
In views: ExperimentalDesign
CRAN checks: DiceKriging results


Reference manual: DiceKriging.pdf
Package source: DiceKriging_1.6.0.tar.gz
Windows binaries: r-devel: DiceKriging_1.6.0.zip, r-release: DiceKriging_1.6.0.zip, r-oldrel: DiceKriging_1.6.0.zip
macOS binaries: r-release: DiceKriging_1.6.0.tgz, r-oldrel: DiceKriging_1.5.8.tgz
Old sources: DiceKriging archive

Reverse dependencies:

Reverse depends: DiceEval, DiceOptim, DiceView, fanovaGraph, GPareto, KrigInv, MuFiCokriging, profExtrema
Reverse imports: grf, LSDsensitivity, mistral, moko, ParBayesianOptimization, pGPx, SAVE, TAG, tuneRanger, varycoef
Reverse suggests: anMC, kergp, mistat, mlr, mlr3learners, mlrintermbo, mlrMBO, mosmafs, sensitivity


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