Reader small image

You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
Languages
Tools
Concepts
Right arrow
Author (1)
Francisco Juretig
Francisco Juretig
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

Right arrow

Conditional independence tests

In the previous recipe, we first started with an expert-defined model, and we then showed how to do it using an automatic approach. But this last one didn't work too well for our case, as the resulting model didn't make much sense. We finally decided to include some arcs, which were then complemented by the automatic algorithm using the whitelist= parameter.

Independence tests are used by the automatic algorithms to find out reasonable structures, but they can also be employed by the user in the expert decision process. More concretely, we might want to add a new node, and using these independence tests, we can decide whether adding it makes sense or not.

Getting ready

In order to run...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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