{"name":"py310-emcee","portdir":"python/py-emcee","version":"2.2.1","license":"MIT","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/dfm/emcee","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":["py310-installer","clang-18","py310-setuptools","py310-wheel","py310-build"]},{"type":"lib","ports":["python310","py310-numpy"]},{"type":"test","ports":["py310-nose"]}],"depends_on":[{"type":"lib","ports":["py-emcee"]}]}