Learning Bayesian Networks with Mixed Variables
Bayesian networks with continuous and/or discrete variables
can be learned and compared from data.
r-cran-deal for Debian
This package can be tested by loading it into R with the command
'library(deal)' in order to confirm its integrity.
-- ivo Maintz <email@example.com> Wed, 01 Feb 2012 09:59:12 +0100
r-cran-deal (1.2.34-1) unstable; urgency=low
* Initial release (closes: #659043)
-- ivo Maintz <firstname.lastname@example.org> Wed, 04 Apr 2012 21:45:02 +0200
1.2-31: Changed a bug in jointprior thanks to Jean-Baptiste DENIS. A
non-uniform prior would be multiplied together in a wrong fashion.
1.2-31: Changed a bug in autosearch and heuristic thanks to Peter van de
Ven. The output network was not necessarily the one with highest
loglikelihood due to a wrong sorting of the scores.
1.2-32: The bug in jointprior was reverted. Apparently not a bug
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