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.
| ISBN: | 9781461422983 |
| Publication date: | 18th February 2012 |
| Author: | Søren Højsgaard, David Edwards, Steffen L Lauritzen |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 182 pages |
| Series: | Use R! |
| Genres: |
Probability and statistics |
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.
Graphical Models With R features in the following genres: Probability and statistics
Paperback. Not Available.
Graphical Models With R was written by Søren Højsgaard, David Edwards, Steffen L Lauritzen and published by Springer an imprint of Springer New York
Graphical Models With R has 182 pages
Yes it is part of Use R! series