6f5d89d60e
A Python Approximate Bayesian Computing (ABC) Population Monte Carlo (PMC) implementation based on Sequential Monte Carlo (SMC) with Particle Filtering techniques.
6 lines
401 B
Text
6 lines
401 B
Text
$NetBSD: distinfo,v 1.1 2016/10/12 00:27:01 kamil Exp $
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SHA1 (abcpmc-0.1.2.tar.gz) = 087bcc8b38345065753715d88af3a1f155e770a6
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RMD160 (abcpmc-0.1.2.tar.gz) = adbeb10078e6cf71ac868210afbbfb4698fb7275
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SHA512 (abcpmc-0.1.2.tar.gz) = 5f94af7be91dc6d07438a641b60da84678ba1d033b03986c03300227ea0337d0dc90a22d85d86b1965c9175af489d9acafcfd3c52aad4130d6a994114cc1e09a
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Size (abcpmc-0.1.2.tar.gz) = 872276 bytes
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