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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

Robust mixed effects models with robustlmm

The lme4 package is the de facto package for linear mixed models. Its syntax has become a standard in the industry and most researchers working with applied linear models use it. As we have seen with many techniques so far, the problem with it is that it can be impacted greatly by outliers. Even a minor contamination causes major estimation problems.

Getting ready

The lme4 and robustlmm packages are needed for this recipe. They can be installed using install.packages().

How to do it...

In this recipe, we will use the robustlmm...

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