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You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
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Author (1)
Francisco Juretig
Francisco Juretig
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Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig

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Continuous and hybrid Bayesian networks via bnlearn

The previous framework can be extended to deal with continuous data, and a mixture of continuous and discrete data. From an operational perspective, nothing changes much with respect to the methods that we have discussed in the previous recipe. It is worth noting that bnlearn requires that continuous data be gaussian, which might not work in some cases.

Getting ready

The bnlearn package needs to be installed using install.packages("bnlearn").

How to do it...

In the following example, we will work with the abalone...

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R Statistics Cookbook
Published in: Mar 2019Publisher: PacktISBN-13: 9781789802566

Author (1)

author image
Francisco Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.
Read more about Francisco Juretig