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.
This commit is contained in:
Mike M. Volokhov 2012-12-31 20:03:09 +00:00 committed by Thomas Klausner
parent da81ccdc2f
commit 4453a46b99
2 changed files with 6 additions and 6 deletions

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@ -1,4 +1,4 @@
# $NetBSD: Makefile,v 1.8 2012/11/16 01:05:41 bubuchka Exp $
# $NetBSD: Makefile,v 1.9 2012/12/31 20:03:09 bubuchka Exp $
CATEGORIES= math
MASTER_SITES= ${MASTER_SITE_R_CRAN:=contrib/}
@ -8,7 +8,7 @@ HOMEPAGE= http://www.bnlearn.com/
COMMENT= Bayesian network structure learning, parameter learning and inference
R_PKGNAME= bnlearn
R_PKGVER= 3.1
R_PKGVER= 3.2
LICENSE= gnu-gpl-v2 OR gnu-gpl-v3

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@ -1,5 +1,5 @@
$NetBSD: distinfo,v 1.3 2012/11/16 01:05:41 bubuchka Exp $
$NetBSD: distinfo,v 1.4 2012/12/31 20:03:09 bubuchka Exp $
SHA1 (R/bnlearn_3.1.tar.gz) = 07d97dc14c1a5bbbce8e7c9ade6e3f01da1852ee
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Size (R/bnlearn_3.1.tar.gz) = 1014087 bytes
SHA1 (R/bnlearn_3.2.tar.gz) = 28b7ba5422624b65d25e36e3bb10ac11d5fc5c49
RMD160 (R/bnlearn_3.2.tar.gz) = 46156018b2915193641478bbcc2c3293bb141d0e
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