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R Statistics Cookbook

You're reading from   R Statistics Cookbook Over 100 recipes for performing complex statistical operations with R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802566
Length 448 pages
Edition 1st Edition
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Author (1):
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Francisco Juretig Francisco Juretig
Author Profile Icon Francisco Juretig
Francisco Juretig
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with R and Statistics FREE CHAPTER 2. Univariate and Multivariate Tests for Equality of Means 3. Linear Regression 4. Bayesian Regression 5. Nonparametric Methods 6. Robust Methods 7. Time Series Analysis 8. Mixed Effects Models 9. Predictive Models Using the Caret Package 10. Bayesian Networks and Hidden Markov Models 11. Other Books You May Enjoy

Facebook's automatic Prophet forecasting

Facebook's core data science team has developed and released an automatic tool for large-scale forecasting. It does a particularly great job with highly seasonal time series, and series with complex trends. Prophet's internal algorithm for detecting trend breakpoints is particularly interesting. Even though it works with any periodicity, it works best with daily data.

Although the algorithm can be used with little to no time series knowledge, experienced users can tweak many of its parameters.

According to its documentation, it has four components:

  • Trend detection via a piecewise linear trend, or nonlinear growth curves. This is relevant because some of the time series tasks that Facebook has encountered are phenomena where the data reaches saturation.
  • A yearly seasonal component.
  • A monthly seasonal component.
  • A list...
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