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rlibkriging  

Kriging Models using the 'libKriging' Library
View on CRAN: Click here


Download and install rlibkriging package within the R console
Install from CRAN:
install.packages("rlibkriging")

Install from Github:
library("remotes")
install_github("cran/rlibkriging")

Install by package version:
library("remotes")
install_version("rlibkriging", "0.9-1")



Attach the package and use:
library("rlibkriging")
Maintained by
Yann Richet
[Scholar Profile | Author Map]
First Published: 2022-09-22
Latest Update: 2023-11-28
Description:
Interface to 'libKriging' 'C++' library that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization, and HDF5 features coming from HDF Group (see HDF5_LICENSE file) possibly provided by Rhdf5lib by Mike Smith (Artistic-2.0 license).
How to cite:
Yann Richet (2022). rlibkriging: Kriging Models using the 'libKriging' Library. R package version 0.9-1, https://cran.r-project.org/web/packages/rlibkriging. Accessed 15 Apr. 2025.
Previous versions and publish date:
0.7-0 (2022-09-22 15:50), 0.7-2 (2023-01-06 16:50), 0.7-3.1 (2023-01-12 09:40), 0.7-3 (2023-01-09 23:30), 0.7-4.1 (2023-01-17 23:20), 0.7-4.2 (2023-02-02 12:10), 0.7-4.3 (2023-02-13 15:00), 0.7-4 (2023-01-14 14:20), 0.8-0.1 (2023-11-28 13:10), 0.8-0 (2023-06-23 11:00), 0.9-0.1 (2024-08-27 06:30), 0.9-0.4 (2024-10-03 00:40), 0.9-0 (2024-08-23 18:00)
Other packages that cited rlibkriging R package
View rlibkriging citation profile
Other R packages that rlibkriging depends, imports, suggests or enhances
Complete documentation for rlibkriging
Functions, R codes and Examples using the rlibkriging R package
Some associated functions: KM-class . KM . Kriging . NoiseKM-class . NoiseKM . NoiseKriging . NuggetKM-class . NuggetKM . NuggetKriging . as.km.Kriging . as.km.NoiseKriging . as.km.NuggetKriging . as.km . as.list.Kriging . as.list.NoiseKriging . as.list.NuggetKriging . copy.Kriging . copy.NoiseKriging . copy.NuggetKriging . copy . fit.Kriging . fit.NoiseKriging . fit.NuggetKriging . fit . leaveOneOut.Kriging . leaveOneOut . leaveOneOutFun.Kriging . leaveOneOutFun . leaveOneOutVec.Kriging . leaveOneOutVec . load.Kriging . load.NoiseKriging . load.NuggetKriging . load . logLikelihood.Kriging . logLikelihood.NoiseKriging . logLikelihood.NuggetKriging . logLikelihood . logLikelihoodFun.Kriging . logLikelihoodFun.NoiseKriging . logLikelihoodFun.NuggetKriging . logLikelihoodFun . logMargPost.Kriging . logMargPost.NuggetKriging . logMargPost . logMargPostFun.Kriging . logMargPostFun.NuggetKriging . logMargPostFun . predict-KM-method . predict-NoiseKM-method . predict-NuggetKM-method . predict.Kriging . predict.NoiseKriging . predict.NuggetKriging . print.Kriging . print.NoiseKriging . print.NuggetKriging . save.Kriging . save.NoiseKriging . save.NuggetKriging . save . simulate-KM-method . simulate-NoiseKM-method . simulate-NuggetKM-method . simulate.Kriging . simulate.NoiseKriging . simulate.NuggetKriging . update-KM-method . update-NoiseKM-method . update-NuggetKM-method . update.Kriging . update.NoiseKriging . update.NuggetKriging . 
Some associated R codes: KMClass.R . KrigingClass.R . NoiseKMClass.R . NoiseKrigingClass.R . NuggetKMClass.R . NuggetKrigingClass.R . RcppExports.R . allGenerics.R . miscUtils.R .  Full rlibkriging package functions and examples
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