{"name":"py312-emcee3","portdir":"python/py-emcee3","version":"3.1.6","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://emcee.readthedocs.io/en/stable/","description":"affine-invariant ensemble MCMC sampling","long_description":"emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the astrophysics literature.","active":true,"categories":["science","math","python"],"maintainers":[{"name":"aronnax","github":"lpsinger","ports_count":440}],"variants":[],"dependencies":[{"type":"build","ports":["py312-setuptools_scm","clang-18","py312-build","py312-installer","py312-setuptools","py312-wheel"]},{"type":"lib","ports":["python312","py312-numpy"]},{"type":"test","ports":["py312-pytest","py312-scipy","py312-h5py"]}],"depends_on":[]}