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./wip/py-abcpmc, TODO: Short description of the package

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Branch: CURRENT, Version: 0.1.1, Package name: py27-abcpmc-0.1.1, 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]

Master sites:

https://files.pythonhosted.org/packages/source/a/abcpmc/ (Download)

SHA1: fe4c82d3065416751c68d5f5ba59b6e9fd9eab44
RMD160: 9e7b5fa398a1bfb01819d0fc509e96b6a692dc34
Filesize: 684.161 KB

Version history: (Expand)

(2016-10-13) Package deleted from pkgsrc
(2016-01-23) Package has been reborn
(2016-01-21) Package deleted from pkgsrc
(2015-09-07) Package has been reborn
(2015-09-07) Package deleted from pkgsrc
(2015-08-06) Package added to pkgsrc.se, version py27-abcpmc-0.1.1 (created)

CVS history: (Expand)

2015-08-05 22:31:24 by Kamel Ibn Aziz Derouiche | Files touched by this commit (4)

Log message:
Import py27-abcpmc-0.1.1 as wip/py-abcpmc.

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