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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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Bayesian Regression

We will cover the following recipes in this chapter:

Getting the posterior density in STAN
Formulating a linear regression model
Assigning the priors
Doing MCMC the manual way
Evaluating convergence with CODA
Bayesian variable selection
Using a model for prediction
GLMs in JAGS

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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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