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{ stdenv, fetchurl, python }:
stdenv.mkDerivation rec {
name = "cmdstan-2.9.0";
src = fetchurl {
url = "https://github.com/stan-dev/cmdstan/releases/download/v2.9.0/cmdstan-2.9.0.tar.gz";
sha256 = "08bim6nxgam989152hm0ga1rfb33mr71pwsym1nmfmavma68bwm9";
};
buildFlags = "build";
enableParallelBuilding = true;
nativeBuildInputs = stdenv.lib.optional doCheck python;
doCheck = true;
checkPhase = "python ./runCmdStanTests.py src/test/interface"; # see #5368
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
#!/bin/sh
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 = http://mc-stan.org/interfaces/cmdstan.html;
license = stdenv.lib.licenses.bsd3;
};
}
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