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stk

STK: A Small Toolbox for Kriging

Latest package release

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Version
2.7.0
Date
Author
See AUTHORS.md file
Maintainer
Julien BECT <julien.bect@centralesupelec.fr> and Emmanuel VAZQUEZ <emmanuel.vazquez@centralesupelec.fr>
License
 GPLv3+
Group
 External packages

 download  NEWS function reference

Description

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).

Dependencies

 octave ≥ 4.0.0