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You're reading from  R Statistics Cookbook

Product typeBook
Published inMar 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789802566
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Statistics
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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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Using a model for prediction

Once we have trained a model and recovered the marginal posterior densities, we will probably want to use our model for predicting/scoring new samples. This is not as easy as in the classical approach, because our parameters are no longer fixed values, but distributions. This means that the predictions won't be point estimates/values, but a range of possible values, each one of them with an associated probability.

Getting ready

We will use STAN, which can be installed via install.packages("rstan").

How to do it...

We will use...

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R Statistics Cookbook
Published in: Mar 2019Publisher: PacktISBN-13: 9781789802566
© 2019 Packt Publishing Limited All Rights Reserved

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

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