Creation and manipulation of general Bayesian networks [/bn]. Here "general" means with multivariate nodes and a great variaty of distributions, for continuous, integer or categoric variables. New /bn/ can be generated from existing /bn/. Data sets can be simulated from /bn/. Dags of /bn/ can be graphed... "rbsb" for "ReBaStaBa" which means "R'eseaux Bay'esiens pour la Statistique Bay'esienne", that is "Bayesian Networks for Bayesian Statistics".
|Author||Jean-Baptiste Denis <[email protected]>, Marie-Laure Delignette-Muller <[email protected]> and Regis Pouillot <[email protected]>|
|Maintainer||Jean-Baptiste Denis <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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