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rkriging (version 1.0.2)

Kriging Modeling

Description

An 'Eigen'-based computationally efficient 'C++' implementation for fitting various kriging models to data. This research is supported by U.S. National Science Foundation grant DMS-2310637.

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Version

Install

install.packages('rkriging')

Monthly Downloads

170

Version

1.0.2

License

GPL (>= 2)

Maintainer

Chaofan Huang

Last Published

March 28th, 2025

Functions in rkriging (1.0.2)

RQ.Kernel

Rational Quadratic (RQ) Kernel
MultiplicativeRQ.Kernel

Multiplicative Rational Quadratic (RQ) Kernel
Ordinary.Kriging

Ordinary Kriging
UDF.Kernel

User Defined Function (UDF) Kernel
Universal.Kriging

Universal Kriging
Rational.Kriging

Rational Kriging
Matern52.Kernel

Matern(5/2) Kernel
Predict.Kriging

Kriging Prediction
MultiplicativeMatern.Kernel

Multiplicative Generalized Matern Kernel
MultiplicativeUDF.Kernel

Multiplicative User Defined Function (UDF) Kernel
Generalized.Rational.Kriging

Generalized Rational Kriging
Matern32.Kernel

Matern(3/2) Kernel
Matern.Kernel

Generalized Matern Kernel
Gaussian.Kernel

Gaussian Kernel
Get.Kriging.Parameters

Get Kriging Parameters
Get.Kernel

Kernel
Fit.Kriging

Fit or Create Kriging Models
Matern12.Kernel

Matern(1/2) Kernel
Limit.Kriging

Limit Kriging
Evaluate.Kernel

Evaluate Kernel