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 |
| 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 |
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