Susanne G. Bøttcher and Claus Dethlefsen
Learning Bayesian Networks with R
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deal is a software package freely available for use with R. It
includes several methods for analysing data using Bayesian
networks with variables of discrete and/or continuous types but
restricted to conditionally Gaussian networks. Construction of
priors for network parameters is supported and their parameters can
be learned from data using conjugate updating. The network score is
used as a metric to learn the structure of the network and forms the
basis of a heuristic search strategy. deal has an interface to
Hugin.