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1{ buildOctavePackage 2, lib 3, fetchurl 4}: 5 6buildOctavePackage rec { 7 pname = "stk"; 8 version = "2.8.0"; 9 10 src = fetchurl { 11 url = "https://github.com/stk-kriging/stk/releases/download/${version}/${pname}-${version}-octpkg.tar.gz"; 12 sha256 = "sha256-dgxpw2L7e9o/zimsLPoqW7dEihrrNsks62XtuXt4zTI="; 13 }; 14 15 meta = with lib; { 16 homepage = "https://octave.sourceforge.io/stk/index.html"; 17 license = licenses.gpl3Plus; 18 maintainers = with maintainers; [ KarlJoad ]; 19 description = "STK is a (not so) Small Toolbox for Kriging"; 20 longDescription = '' 21 The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on 22 the interpolation/regression technique known as kriging, which is very 23 closely related to Splines and Radial Basis Functions, and can be 24 interpreted as a non-parametric Bayesian method using a Gaussian Process 25 (GP) prior. The STK also provides tools for the sequential and non-sequential 26 design of experiments. Even though it is, currently, mostly geared towards 27 the Design and Analysis of Computer Experiments (DACE), the STK can be 28 useful for other applications areas (such as Geostatistics, Machine 29 Learning, Non-parametric Regression, etc.). 30 ''; 31 }; 32}