CVS commit: wip/R-bnlearn

["Mike M. Volokhov" <bubuchka%users.sourceforge.net@localhost>]

Module name:    wip
Committed by:   bubuchka
Date:           Fri Mar 29 13:12:00 UTC 2013

Modified Files:
        wip/R-bnlearn: Makefile distinfo

Log Message:
Update R-bnlearn to version 3.3.  Major changes:

  * fixed cpdag() and cextend(), which returned an error about
     the input graph being cyclic when it included the CPDAG of
     a shielded collider (thanks Jean-Baptiste Denis).
  * do not generate observations from redundant variables (those
     not in the upper closure of event and evidence) in cpdag()
     and cpquery().
  * added Pena's relevant() nodes identification.
  * make custom.fit() robust against floating point errors
     (thanks Jean-Baptiste Denis).
  * check v-structures do not introduce directed cycles in the
     graph when applying them (thanks Jean-Baptiste Denis).
  * fixed a buffer overflow in cextend() (thanks Jean-Baptiste
     Denis).
  * added a "strict" argument to cextend().
  * removed Depends on the graph package, which is in Suggests
     once more.
  * prefer the parallel package to snow, if it is available.
  * replace NaNs in bn.fit objects with uniform conditional
     probabilities when calling as.grain(), with a warning
     instead of an error.
  * remove reserved characters from levels in write.{dsc,bif,net}().
  * fix the Gaussian mutual information test (thanks Alex Lenkoski).


To generate a diff of this commit:
cvs -z3 rdiff -u -r1.10 -r1.11 wip/R-bnlearn/Makefile
cvs -z3 rdiff -u -r1.4 -r1.5 wip/R-bnlearn/distinfo

To view a diff of this commit:
http://pkgsrc-wip.cvs.sourceforge.net/pkgsrc-wip/wip/R-bnlearn/Makefile?r1=1.10&r2=1.11
http://pkgsrc-wip.cvs.sourceforge.net/pkgsrc-wip/wip/R-bnlearn/distinfo?r1=1.4&r2=1.5

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

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