LLNL/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.
Getting started
Browse package contents
Package details |
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| Author | Kevin R. Quinlan [aut, cre], Jim R. Leek [aut], Lawrence Livermore National Security [cph] |
| Maintainer | Kevin R. Quinlan <quinlan5@llnl.gov> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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