Package: deal
Version: 1.2-35
Date: 2011-04-01
Title: Learning Bayesian Networks with Mixed Variables
Author: Susanne Gammelgaard Bottcher <alma@math.aau.dk>, Claus
        Dethlefsen <cld@rn.dk>.
Maintainer: Claus Dethlefsen <cld@rn.dk>
Depends: R (>= 2.0.0)
Description: Bayesian networks with continuous and/or discrete
        variables can be learned and compared from data.
License: GPL (>= 2)
Collate: addarrows.R autosearch.R conditional.R cycletest.R
        drawnetwork.R findex.R generic.R genlatex.R heuristic.R
        inspectprob.R jointcont.R jointdisc.R jointprior.R learning.R
        makesimprob.R fullsimprob.R maketrylist.R master.R network.R
        networkfamily.R node.R numbermixed.R perturb.R postc.R postc0.R
        postdist.R readnet.R rnetwork.R savenet.R unique.R
Packaged: 2012-08-14 13:32:56 UTC; 86c9
Repository: CRAN
Date/Publication: 2012-08-14 13:59:43
