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Hi everyone,
A new release
of the stk
package [1] is out, version 2.4.0, with contributions
by Rémi Stroh and myself.
A summary of important user-visible
changes is also available online [2].
Short 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.).
@++
Julien
[1] https://octave.sourceforge.io/stk/
[2] https://octave.sourceforge.io/stk/NEWS.html
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