Update bnlearn to version 3.2. Major changes:
* fixed outstanding typo affecting the sequential Monte Carlo implementation of Pearson's X^2 (thanks Maxime Gasse). * switch from Margaritis' set of rules to the more standard Meek/Sprites set of rules, which are implemented in cpdag(). Now the networks returned by constraint-based algorithms are guaranteed to be CPDAGs, which was not necessarily the case until now. * semiparametric tests now default to 100 permutations, not 5000. * make a local copy of rcont2() to make bnlearn compatible with both older and newer R versions.
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# $NetBSD: Makefile,v 1.8 2012/11/16 01:05:41 bubuchka Exp $
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# $NetBSD: Makefile,v 1.9 2012/12/31 20:03:09 bubuchka Exp $
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CATEGORIES= math
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MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/}
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@ -8,7 +8,7 @@ HOMEPAGE= http://www.bnlearn.com/
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COMMENT= Bayesian network structure learning, parameter learning and inference
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R_PKGNAME= bnlearn
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R_PKGVER= 3.1
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R_PKGVER= 3.2
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LICENSE= gnu-gpl-v2 OR gnu-gpl-v3
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$NetBSD: distinfo,v 1.3 2012/11/16 01:05:41 bubuchka Exp $
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$NetBSD: distinfo,v 1.4 2012/12/31 20:03:09 bubuchka Exp $
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SHA1 (R/bnlearn_3.1.tar.gz) = 07d97dc14c1a5bbbce8e7c9ade6e3f01da1852ee
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RMD160 (R/bnlearn_3.1.tar.gz) = d21fb4860143e66177e5b1a83efc05523e4ab664
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Size (R/bnlearn_3.1.tar.gz) = 1014087 bytes
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SHA1 (R/bnlearn_3.2.tar.gz) = 28b7ba5422624b65d25e36e3bb10ac11d5fc5c49
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RMD160 (R/bnlearn_3.2.tar.gz) = 46156018b2915193641478bbcc2c3293bb141d0e
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Size (R/bnlearn_3.2.tar.gz) = 1012632 bytes
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