{"name":"py36-emcee3","portdir":"python/py-emcee3","version":"3.1.1","license":"MIT","platforms":"darwin","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":false,"categories":["science","math","python"],"maintainers":[{"name":"aronnax","github":"lpsinger","ports_count":444}],"variants":[],"dependencies":[{"type":"build","ports":["py36-setuptools_scm","clang-9.0","py36-wheel"]},{"type":"lib","ports":["python36","py36-numpy"]},{"type":"test","ports":["py36-scipy","py36-pytest"]}],"depends_on":[]}