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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

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781789802566

Length 448 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Statistics

Author (1):

Francisco Juretig

View More author details

Table of Contents (12) Chapters

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

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Time Series Analysis

We will cover the following recipes in this chapter:

The general ARIMA model
Seasonality and SARIMAX models
Choosing the best model with the forecast package
Vector autoregressions (VARs)
Facebook's automatic Prophet forecasting
Modeling count temporal data
Imputing missing values in time series
Anomaly detection
Spectral decomposition of time series

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Authors (1)

Juretig

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.

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