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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.