pkgsrc-WIP-cvs archive

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index][Old Index]

CVS commit: wip/R-bnlearn

Module name:    wip
Committed by:   bubuchka
Date:           Tue Jul 10 13:48:50 UTC 2012

Modified Files:
        wip/R-bnlearn: Makefile distinfo

Log Message:
Update bnlearn to version 3.0. Changes:

* added dsep() to test d-separation.
* implemented Tree-Augmented Naive Bayes (TAN) in tree.bayes().
* implemented Semi-Interleaved HITON-PC in si.hiton.pc().
* improved parsing in read.{bif,dsc,net}().
* fixed an indexing error in Gaussian permutation tests.
* added a "textCol" highlight option to graphviz.plot().
* added {incoming,outgoing,incident}.arcs().
* fixed two hard-tohit bugs in TABU search (thanks Maxime Gasse).
* added for expert parameter specification.
* added support for Markov blanket preseeding in learn.mb().
* assume independence instead of returning an error when a
  partial correlation test fails due to errors in the
  computation of the pseudoinverse of the covariance matrix.
* fixed an incorrect optimization in the backward phase of mmpc().
* fixed a floating point rounding problem in the mutual
  information tests (64bit OSes only, thanks Maxime Gasse).
* fixed cp{query,dist}() handling of TRUE (thanks Maxime Gasse).
* added learn.nbr() to complement learn.mb().

To generate a diff of this commit:
cvs -z3 rdiff -u -r1.1.1.1 -r1.2 wip/R-bnlearn/Makefile \

To view a diff of this commit:

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

Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and 
threat landscape has changed and how IT managers can respond. Discussions 
will include endpoint security, mobile security and the latest in malware 
pkgsrc-wip-cvs mailing list

Home | Main Index | Thread Index | Old Index