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kergp  

Gaussian Process Laboratory
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kergp", "0.5.8")



Attach the package and use:
library("kergp")
Maintained by
Olivier Roustant
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-22
Latest Update: 2024-11-19
Description:
Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
How to cite:
Olivier Roustant (2015). kergp: Gaussian Process Laboratory. R package version 0.5.8, https://cran.r-project.org/web/packages/kergp. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2015-06-22 12:49), 0.2.0 (2015-12-23 09:15), 0.4.0 (2018-09-17 16:00), 0.5.0 (2019-09-30 19:40), 0.5.1 (2020-02-05 15:20), 0.5.5 (2021-03-18 10:50), 0.5.7 (2024-02-05 13:30)
Other packages that cited kergp R package
View kergp citation profile
Other R packages that kergp depends, imports, suggests or enhances
Complete documentation for kergp
Functions, R codes and Examples using the kergp R package
Some associated functions: MLE-methods . MLE . as.list.covTP . checkGrad . checkPar . checkX-methods . checkX . coef-methods . coefLower . coefReplace . contr.helmod . corLevCompSymm . corLevDiag . corLevLowRank . corLevSymm . covANOVA-class . covANOVA . covAll-class . covComp-class . covComp . covMan-class . covMan . covMat-methods . covMat . covOrd-class . covOrd . covQual-class . covQualNested-class . covQualNested . covRadial-class . covRadial . covTP-class . covTP . covTS-class . covTS . gls-methods . gls . gp . hasGrad . influence.gp . inputNames . k1Funs . k1Kerns . kGauss . kMatern . kergp-package . kernelName . npar-methods . npar . optimMethods . parMap-methods . parMap . parNamesSymm . parseCovFormula . plot.covQual . plot.gp . plot.simulate . predict.gp . prinKrige . q1CompSymm . q1Diag . q1LowRank . q1Symm . scores . shapeSlot . simulPar-covAll-method . simulPar . simulate.covAll . simulate.gp . symIndices . translude . varVec-methods . varVec . warpFuns . 
Some associated R codes: CovFormulas.R . allGenerics.R . checkGrad.R . covANOVA.R . covComp.R . covMan.R . covQual.R . covQualNested.R . covQualOrd.R . covRadial.R . covTP.R . covTS.R . covZZAll.R . gp.R . kFuns.R . kernelNorm.R . kernels1d_Call.R . logLikFuns.R . methodGLS.R . methodMLE.R . miscUtils.R . prinKrige.R . q1CompSymm.R . q1Diag.R . q1LowRank.R . q1Symm.R . simulate_gp.R . warpFuns.R .  Full kergp package functions and examples
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