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math/py-abcpmc,
Approximate Bayesian Computation Population Monte Carlo
Branch: pkgsrc-2017Q1,
Version: 0.1.2,
Package name: py27-abcpmc-0.1.2,
Maintainer: jihbed.researchA 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] [
math/py-scipy]
Required to build:[
devel/py-pbr] [
devel/py-mock] [
devel/py-funcsigs] [
devel/py-test] [
lang/py-six] [
pkgtools/cwrappers]
Master sites:
SHA1: 087bcc8b38345065753715d88af3a1f155e770a6
RMD160: adbeb10078e6cf71ac868210afbbfb4698fb7275
Filesize: 851.832 KB
Version history: (Expand)
- (2017-04-04) Package added to pkgsrc.se, version py27-abcpmc-0.1.2 (created)