nixpkgs/pkgs/development/compilers/cmdstan/default.nix

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{ stdenv, fetchurl, python, runtimeShell }:
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stdenv.mkDerivation {
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name = "cmdstan-2.17.1";
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src = fetchurl {
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url = "https://github.com/stan-dev/cmdstan/releases/download/v2.17.1/cmdstan-2.17.1.tar.gz";
sha256 = "1vq1cnrkvrvbfl40j6ajc60jdrjcxag1fi6kff5pqmadfdz9564j";
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};
buildFlags = "build";
enableParallelBuilding = true;
doCheck = true;
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checkInputs = [ python ];
checkPhase = "python ./runCmdStanTests.py src/test/interface"; # see #5368
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installPhase = ''
mkdir -p $out/opt $out/bin
cp -r . $out/opt/cmdstan
ln -s $out/opt/cmdstan/bin/stanc $out/bin/stanc
ln -s $out/opt/cmdstan/bin/stansummary $out/bin/stansummary
cat > $out/bin/stan <<EOF
#!${runtimeShell}
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make -C $out/opt/cmdstan "\$(realpath "\$1")"
EOF
chmod a+x $out/bin/stan
'';
meta = {
description = "Command-line interface to Stan";
longDescription = ''
Stan is a probabilistic programming language implementing full Bayesian
statistical inference with MCMC sampling (NUTS, HMC), approximate Bayesian
inference with Variational inference (ADVI) and penalized maximum
likelihood estimation with Optimization (L-BFGS).
'';
homepage = https://mc-stan.org/interfaces/cmdstan.html;
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license = stdenv.lib.licenses.bsd3;
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platforms = stdenv.lib.platforms.all;
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};
}