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 in noise.

Version: 1.3
Depends: DiceKriging, rgenoud, MASS, lhs, pbivnorm, randtoolbox, DiceView
Published: 2012-08-10
Author: Clement Chevalier, Victor Picheny and David Ginsbourger
Maintainer: Clement Chevalier <clement.chevalier at stat.unibe.ch>
License: GPL-3
NeedsCompilation: no
CRAN checks: KrigInv results

Downloads:

Reference manual: KrigInv.pdf
Package source: KrigInv_1.3.tar.gz
OS X binary: KrigInv_1.3.tgz
Windows binary: KrigInv_1.3.zip
Old sources: KrigInv archive