IRSN/DiceKriging: Kriging Methods for Computer Experiments

Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km. Changes from regular CRAN version: * control random seed for genoud loglik optimization (kmEstimate.R) * allow arbitrary optim.method function to be passed (expected to work like optim) * add scaling derivatives to be used within DiceOptim/EGO (covStruct_Scaling.R, covStruct_Scaling_Affine.R) * big improvement of scaling code for cpu efficiency

README.md

Vignettes Man pages API and functions Files

Package details
Author	Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
Maintainer	Yann Richet <yann.richet@irsn.fr>
License	GPL-2 \| GPL-3
Version	1.5.55
URL	http://dice.emse.fr/
Package repository	View on GitHub
Installation	Install the latest version of this package by entering the following in R: `install.packages("remotes") remotes::install_github("IRSN/DiceKriging")`