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This repository is just a wrapper to emulate a "standard" R package from https://github.com/libKriging/bindings/R/rlibkriging content, so you can install it just using:

install.packages('devtools')
devtools::install_github("libKriging/rlibkriging")

The stable version is available from CRAN :

install.packages('rlibkriging')

Requirements

Note: this repository mainly contains modified Makefiles, inspired by https://github.com/astamm/nloptr wrapper.

CRAN

When submitting to CRAN, ./tools/setup.sh should be run before R CMD build rlibkriging to fit CRAN policy.

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Version

Install

install.packages('rlibkriging')

Monthly Downloads

71

Version

0.8-0.1

License

Apache License (>= 2)

Maintainer

Yann Richet

Last Published

November 28th, 2023

Functions in rlibkriging (0.8-0.1)

copy.Kriging

Duplicate a Kriging Model
as.km

Coerce an Object into a km Object
as.list.Kriging

Coerce a Kriging Object into a List
leaveOneOutVec.Kriging

Compute Leave-One-Out (LOO) vector error for an object with S3 class "Kriging" representing a kriging model.
copy.NoiseKriging

Duplicate a NoiseKriging Model
logLikelihood.NuggetKriging

Get logLikelihood of NuggetKriging Model
fit.NoiseKriging

Fit NoiseKriging object on given data.
logMargPostFun.Kriging

Compute the log-marginal posterior of a kriging model, using the prior XXXY.
logLikelihood

Compute Log-Likelihood
logMargPost

Compute log-Marginal Posterior
fit.Kriging

Fit Kriging object on given data.
load.NoiseKriging

Load a NoiseKriging Model from a file storage
leaveOneOutFun.Kriging

Compute Leave-One-Out (LOO) error for an object with S3 class "Kriging" representing a kriging model.
logLikelihoodFun.NoiseKriging

Compute Log-Likelihood of NoiseKriging Model
leaveOneOutFun

Leave-One-Out function
predict,NoiseKM-method

Prediction Method for a NoiseKM Object
logLikelihoodFun.Kriging

Compute Log-Likelihood of Kriging Model
leaveOneOutVec

Leave-One-Out vector
load.Kriging

Load a Kriging Model from a file storage
predict,KM-method

Prediction Method for a KM Object
logMargPostFun.NuggetKriging

Compute the log-marginal posterior of a kriging model, using the prior XXXY.
leaveOneOut.Kriging

Get leaveOneOut of Kriging Model
fit

Fit model on data.
fit.NuggetKriging

Fit NuggetKriging object on given data.
load.NuggetKriging

Load a NuggetKriging Model from a file storage
predict.NoiseKriging

Predict from a NoiseKriging object.
logMargPostFun

log-Marginal Posterior function
predict.NuggetKriging

Predict from a NuggetKriging object.
save.NoiseKriging

Save a NoiseKriging Model to a file storage
predict,NuggetKM-method

Prediction Method for a NuggetKM Object
leaveOneOut

Compute Leave-One-Out
logLikelihood.Kriging

Get Log-Likelihood of Kriging Model
save.NuggetKriging

Save a NuggetKriging Model to a file storage
update,NuggetKM-method

Update a NuggetKM Object with New Points
update,NoiseKM-method

Update a NoiseKM Object with New Points
simulate,NoiseKM-method

Simulation from a NoiseKM Object
simulate,NuggetKM-method

Simulation from a NuggetKM Object
logMargPost.NuggetKriging

Get logMargPost of NuggetKriging Model
print.Kriging

Print the content of a Kriging object.
predict.Kriging

Predict from a Kriging object.
simulate.NuggetKriging

Simulation from a NuggetKriging model object.
logMargPost.Kriging

Get logMargPost of Kriging Model
print.NoiseKriging

Print the content of a NoiseKriging object.
logLikelihood.NoiseKriging

Get logLikelihood of NoiseKriging Model
simulate.Kriging

Simulation from a Kriging model object.
update,KM-method

Update a KM Object with New Points
load

Load any Kriging Model from a file storage.
logLikelihoodFun

Log-Likelihood function
logLikelihoodFun.NuggetKriging

Compute Log-Likelihood of NuggetKriging Model
save.Kriging

Save a Kriging Model to a file storage
print.NuggetKriging

Print the content of a NuggetKriging object.
save

Save object.
update.NuggetKriging

Update a NuggetKriging model object with new points
simulate,KM-method

Simulation from a KM Object
simulate.NoiseKriging

Simulation from a NoiseKriging model object.
update.Kriging

Update a Kriging model object with new points
update.NoiseKriging

Update a NoiseKriging model object with new points
KM-class

S4 class for Kriging Models Extending the "km" Class
Kriging

Create an object with S3 class "Kriging" using the libKriging library.
NoiseKM-class

S4 class for NoiseKriging Models Extending the "km" Class
NuggetKriging

Create an object with S3 class "NuggetKriging" using the libKriging library.
NuggetKM

Create an NuggetKM Object
NoiseKM

Create an NoiseKM Object
as.km.Kriging

Coerce a Kriging object into the "km" class of the DiceKriging package.
NuggetKM-class

S4 class for NuggetKriging Models Extending the "km" Class
NoiseKriging

Create an object with S3 class "NoiseKriging" using the libKriging library.
KM

Create an KM Object
copy.NuggetKriging

Duplicate a NuggetKriging Model
as.km.NuggetKriging

Coerce a NuggetKriging object into the "km" class of the DiceKriging package.
as.list.NoiseKriging

Coerce a NoiseKriging Object into a List
copy

Duplicate object.
as.km.NoiseKriging

Coerce a NoiseKriging object into the "km" class of the DiceKriging package.
as.list.NuggetKriging

Coerce a NuggetKriging Object into a List