Graphical Models with R - Brossura

Højsgaard, Søren; Edwards, David; Lauritzen, Steffen

Brossura

ISBN 10: 1461422981 ISBN 13: 9781461422983

Casa editrice: Springer, 2012

Riassunto

This book offers an introduction to graphical modeling using R and the main features of some of these packages. It provides examples of how more advanced aspects of graphical modeling can be represented and handled within R.

Su questo libro

Recensione:

“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

L'autore:

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.

Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2012
• ISBN 10: 1461422981
• ISBN 13: 9781461422983
• Rilegatura: Copertina flessibile
• Numero di pagine: 192