Graphical Models with R

  • Søren Højsgaard
  • David Edwards
  • Steffen Lauritzen

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 1-25
  3. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 27-49
  4. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 51-76
  5. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 77-116
  6. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 117-143
  7. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 145-158
  8. Søren Højsgaard, David Edwards, Steffen Lauritzen
    Pages 159-174
  9. Back Matter
    Pages 175-182

About this book

Introduction

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences.  Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.  In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software.  This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages.  In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R.  Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.

Søren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University.

David Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University.

Steffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.

Keywords

Bayesian Networks Graphical Models Log-Linear Models R Stochastic Systems

Authors and affiliations

  • Søren Højsgaard
    • 1
  • David Edwards
    • 2
  • Steffen Lauritzen
    • 3
  1. 1., Department of Mathematical SciencesAalborg UniversityAalborg ØDenmark
  2. 2.Fac. Agricultural Sciences, Inst. Genetics & BiotechnologyAarhus UniversityTjeleDenmark
  3. 3.Dept. StatisticsUniversity of OxfordOxfordUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-2299-0
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-2298-3
  • Online ISBN 978-1-4614-2299-0
  • About this book