June 2014
Intermediate to advanced
241 pages
6h 20m
English
Content preview from Bayesian Networks
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5
Software for Bayesian Networks
The difficulty of implementing versatile software for general classes of graphi-
cal models and the varying focus in different disciplines limit the applications
of BNs compared to the state of the art in the literature. Nevertheless, the
number of R packages for BNs has been slowly increasing in recent years.
In this chapter we will provide an overview of available software packages,
without pretending to be exhaustive, and we will introduce some classic R
packages dealing with different aspects of BN learning and inference.
5.1 An Overview of R Packages
There are several packages on CRAN dealing with BNs; the versions
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.