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R Statistics Cookbook

You're reading from R Statistics Cookbook

Product type Book

Published in Mar 2019

Publisher Packt

ISBN-13 9781789802566

Pages 448 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Francisco Juretig

Table of Contents (12) Chapters

Preface

Getting Started with R and Statistics

Univariate and Multivariate Tests for Equality of Means

Linear Regression

Bayesian Regression

Nonparametric Methods

Robust Methods

Time Series Analysis

Mixed Effects Models

Predictive Models Using the Caret Package

Bayesian Networks and Hidden Markov Models

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Model tuning

Most of the models that can be used with caret have certain hyperparameters. These are not estimated by each algorithm, but rather, need to be adjusted by the user. The strategy is to tune them in order to minimize some cross-validation error. caret has a variety of tools for tuning these hyperparameters that we will explore in this recipe.

Getting ready

The caret package needs to be installed using install.packages("caret").

How to do it...

In this recipe, we will work with the mushroom dataset that we used in the first recipe of this chapter and...

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Authors (1)

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.

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