2021-03-09 03:18:52 +00:00
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{ buildOctavePackage
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, lib
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, fetchurl
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}:
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buildOctavePackage rec {
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pname = "stk";
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2023-03-24 00:07:29 +00:00
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version = "2.7.0";
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2021-03-09 03:18:52 +00:00
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src = fetchurl {
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url = "mirror://sourceforge/octave/${pname}-${version}.tar.gz";
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2023-03-24 00:07:29 +00:00
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sha256 = "sha256-vIf+XDLvLNOMwptFCgiqfl+o3PIQ+KLpsJhOArd7gMM=";
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2021-03-09 03:18:52 +00:00
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};
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meta = with lib; {
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homepage = "https://octave.sourceforge.io/stk/index.html";
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license = licenses.gpl3Plus;
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maintainers = with maintainers; [ KarlJoad ];
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description = "STK is a (not so) Small Toolbox for Kriging";
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longDescription = ''
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The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on
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the interpolation/regression technique known as kriging, which is very
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closely related to Splines and Radial Basis Functions, and can be
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interpreted as a non-parametric Bayesian method using a Gaussian Process
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(GP) prior. The STK also provides tools for the sequential and non-sequential
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design of experiments. Even though it is, currently, mostly geared towards
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the Design and Analysis of Computer Experiments (DACE), the STK can be
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useful for other applications areas (such as Geostatistics, Machine
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Learning, Non-parametric Regression, etc.).
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'';
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};
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}
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