Tutorial: Graphical Models and Bayesian Networks with R
University of Oslo, Norway, November 2012
Goal  
Introduce participants to using R for working with graphical models. Focus will be on graphical log-linear models for discrete data (contingency tables) and on probability propagation in Bayesian networks.
Teacher  
Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark
When and where  
The tutorial will take place on Monday, November 26 and on Tuesday, November 27. The tutorial consists of a theoretical and practical part.
Venue: Norwegian Computing Center, Gaustadalléen 23a/b, 4. etg, Room Alfa-Omega.
Time schedule:
Theoretical part (for all): Monday 9-12.
Practical part: (group1): Monday 13-16; (group2): Tuesday 9-12
Outline  
There will be a running example about building a probabilistic expert system for a medical diagnosis from real-world data.
Prerequisites and preparation  
A working knowledge of R is a prerequisite for participating in the practical part of the tutorial.
There will be some R packages to be installed, and it is highly recommended to do so before the tutorial. The packages you MUST install are gRbase, gRain and gRim. When doing so, please follow the instructions given here.
In addition, please also install the rpart package.
Course material  
Signing up for the tutorial  
Registration is now closed!



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