imset.R is a suite of functions in R for integer valued multisets (imsets) of graphical models.

A detailed exposition to the theory of imsets can be found in the book by

- Milan Studeny: Probabilistic Conditional Independence Structures, Springer-Verlag 2005.

- M. Studeny and J. Vomlel: Transition between graphical and algebraic representatives of Bayesian network models, In Proceeding of the 2nd European Workshop on Probabilistic Graphical Models (PGM’04), Leiden, the Netherlands. It is also available online.

- J. Vomlel and M. Studeny. Using imsets for learning Bayesian networks,

In Proceedings of the 10th Czech-Japan Seminar on

Data Analysis and Decision Making under Uncertainty, Liblice, Czech Republic, 2007.

It is also available online.

To use the imset suite within R you need two packages:

- graph - a package that implements some simple graph handling capabilities that is part of the Bioconductor project and
- ggm - a package from CRAN containing functions for fitting Gaussian Markov models.

- First, select the repository - CRAN for ggm and Bioconductor for graph.
- Second, select Install package(s) item in the Package menu and select the required package.

A short manual for the imset.R suite is available here.

An example of an R session and data set for this example are also available.