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:
quantkriging_0.1.0.tar.gz
quantkriging_0.1.0.zip(r-4.5)quantkriging_0.1.0.zip(r-4.4)quantkriging_0.1.0.zip(r-4.3)
quantkriging_0.1.0.tgz(r-4.4-any)quantkriging_0.1.0.tgz(r-4.3-any)
quantkriging_0.1.0.tar.gz(r-4.5-noble)quantkriging_0.1.0.tar.gz(r-4.4-noble)
quantkriging_0.1.0.tgz(r-4.4-emscripten)quantkriging_0.1.0.tgz(r-4.3-emscripten)
quantkriging.pdf |quantkriging.html✨
quantkriging/json (API)
# Install 'quantkriging' in R: |
install.packages('quantkriging', repos = c('https://kevinquinlan.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:c959e5dd1e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win | OK | Nov 23 2024 |
R-4.5-linux | OK | Nov 23 2024 |
R-4.4-win | OK | Nov 23 2024 |
R-4.4-mac | OK | Nov 23 2024 |
R-4.3-win | OK | Nov 23 2024 |
R-4.3-mac | OK | Nov 23 2024 |
Exports:LOOquantsnew_QKResultsnewQuantsquantKrigQuantPlot
Dependencies:clicolorspaceDiceDesignfansifarverggplot2gluegtablehetGPisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Revaluate Quantiles | LOOquants |
QKResult Constructor | new_QKResults |
Revaluate Quantiles | newQuants |
Revaluate Quantiles | predict.QKResults |
Quantile Kriging | quantKrig |
quantkriging | quantkriging-package quantkriging |
Plot Univariate Quantile Data | QuantPlot |