./math/py-abcpmc, Approximate Bayesian Computation Population Monte Carlo

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]


Branch: pkgsrc-2017Q3, Version: 0.1.2, Package name: py27-abcpmc-0.1.2, Maintainer: jihbed.research

A Python Approximate Bayesian Computing (ABC) Population Monte Carlo
(PMC) implementation based on Sequential Monte Carlo (SMC) with Particle
Filtering techniques.


Required to run:
[devel/py-setuptools] [lang/python27] [math/py-numpy]

Required to build:
[devel/py-pbr] [devel/py-funcsigs] [devel/py-test] [devel/py-mock] [lang/py-six]

Master sites:

SHA1: 087bcc8b38345065753715d88af3a1f155e770a6
RMD160: adbeb10078e6cf71ac868210afbbfb4698fb7275
Filesize: 851.832 KB

Version history: (Expand)