Package: quantkriging 0.1.0

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.

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

quantkriging_0.1.0.tar.gz
quantkriging_0.1.0.zip(r-4.7)quantkriging_0.1.0.zip(r-4.6)quantkriging_0.1.0.zip(r-4.5)
quantkriging_0.1.0.tgz(r-4.6-any)quantkriging_0.1.0.tgz(r-4.5-any)
quantkriging_0.1.0.tar.gz(r-4.7-any)quantkriging_0.1.0.tar.gz(r-4.6-any)
quantkriging_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
quantkriging/json (API)

# Install 'quantkriging' in R:
install.packages('quantkriging', repos = c('https://kevinquinlan.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 564 downloads 5 exports 30 dependencies

Last updated from:c959e5dd1e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK166
linux-release-x86_64OK149
macos-release-arm64OK119
macos-oldrel-arm64OK200
windows-develOK82
windows-releaseOK115
windows-oldrelOK76
wasm-releaseOK121

Exports:LOOquantsnew_QKResultsnewQuantsquantKrigQuantPlot

Dependencies:clicpp11DiceDesignfarverggplot2gluegtablehetGPisobandlabelinglatticelifecyclemagrittrMASSMatrixmcoplyrquadprogR6RColorBrewerRcppreshape2rlangS7scalesstringistringrvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Revaluate QuantilesLOOquants
QKResult Constructornew_QKResults
Revaluate QuantilesnewQuants
Revaluate Quantilespredict.QKResults
Quantile KrigingquantKrig
quantkrigingquantkriging-package quantkriging
Plot Univariate Quantile DataQuantPlot