Use R!

Graphical Models with R

Authors: Højsgaard, Søren, Edwards, David, Lauritzen, Steffen

  • Leaders in the field instruct using graphs and color images
  • Provides valuable information on graphical modelling with R
  • Including instructions to better understand relevant software programs
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  • ISBN 978-1-4614-2299-0
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  • ISBN 978-1-4614-2298-3
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About this book

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.

About the authors

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.

Reviews

“This book is useful for readers who want to analyze graphical models with R and who are searching for an initial aid in programming and a guide through the jungle of different R packages for graphical models. … I recommend the book to readers whose aim is primarily to apply graphical models in R and who are therefore looking for a good introductory book.” (Ronja Foraita, Biometrical Journal, Vol. 56 (2), 2014)

The book, written by some of the people who laid the foundations of work in this area, would be ideal for researchers who had read up on the theory of graphical models and who wanted to apply them in practice. It would also make excellent supplementary material to accompany a course text on graphical modelling. I shall certainly be recommending it for use in that role...the book is neither a text on graphical models nor a manual for the various packages, but rather has the more modest aims of introducing the ideas of graphical modelling and the capabilities of some of the most important packages. It succeeds admirably in these aims. The simplicity of the commands of the packages it uses to illustrate is apparent, as is the power of the tools available.

International Statistical Review, Volume 31, Issue 2 review by David J. Hand


Table of contents (7 chapters)

  • Graphs and Conditional Independence

    Højsgaard, Søren (et al.)

    Pages 1-25

  • Log-Linear Models

    Højsgaard, Søren (et al.)

    Pages 27-49

  • Bayesian Networks

    Højsgaard, Søren (et al.)

    Pages 51-76

  • Gaussian Graphical Models

    Højsgaard, Søren (et al.)

    Pages 77-116

  • Mixed Interaction Models

    Højsgaard, Søren (et al.)

    Pages 117-143

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-2299-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA
  • ISBN 978-1-4614-2298-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Graphical Models with R
Authors
Series Title
Use R!
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-2299-0
DOI
10.1007/978-1-4614-2299-0
Softcover ISBN
978-1-4614-2298-3
Series ISSN
2197-5736
Edition Number
1
Number of Pages
IX, 182
Number of Illustrations and Tables
88 b/w illustrations, 24 illustrations in colour
Topics