quantkriging: Quantile Kriging for Stochastic Simulations with Replication

A re-implementation of quantile kriging. Quantile kriging was described by Plumlee and Tuo (2014) <doi:10.1080/00401706.2013.860919>. With computational savings when dealing with replication from the recent paper by Binois, Gramacy, and Ludovski (2018) <doi:10.1080/10618600.2018.1458625> it is now possible to apply quantile kriging to a wider class of problems. In addition to fitting the model, other useful tools are provided such as the ability to automatically perform leave-one-out cross validation.

Version: 0.1.0
Depends: R (≥ 3.6.0)
Imports: hetGP (≥ 1.1.1), Matrix (≥ 1.2.17), ggplot2 (≥ 3.2.1), reshape2 (≥ 1.4.3), stats
Suggests: testthat (≥ 2.1.0)
Published: 2020-03-06
DOI: 10.32614/CRAN.package.quantkriging
Author: Kevin R. Quinlan [aut, cre], Jim R. Leek [aut], Lawrence Livermore National Security [cph]
Maintainer: Kevin R. Quinlan <quinlan5 at llnl.gov>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: quantkriging results


Reference manual: quantkriging.pdf


Package source: quantkriging_0.1.0.tar.gz
Windows binaries: r-devel: quantkriging_0.1.0.zip, r-release: quantkriging_0.1.0.zip, r-oldrel: quantkriging_0.1.0.zip
macOS binaries: r-release (arm64): quantkriging_0.1.0.tgz, r-oldrel (arm64): quantkriging_0.1.0.tgz, r-release (x86_64): quantkriging_0.1.0.tgz, r-oldrel (x86_64): quantkriging_0.1.0.tgz


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