Quantile Kriging for Stochastic Simulations with Replication

A re-implementation of quantile kriging. Quantile kriging was described by Plumlee and Tuo (2014) . With computational savings when dealing with replication from the recent paper by Binois, Gramacy, and Ludovski (2018) 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.


Reference manual

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0.1.0 by Kevin R. Quinlan, a year ago

Browse source code at https://github.com/cran/quantkriging

Authors: Kevin R. Quinlan [aut, cre] , Jim R. Leek [aut] , Lawrence Livermore National Security [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports hetGP, Matrix, ggplot2, reshape2, stats

Suggests testthat

See at CRAN