A package for graphical modelling in R
Description
The gRbase package provides certain general constructs
which are used by other graphical modelling packages, in
particular by the packages gRain, gRim and gRc.
gRbase contains several datasets relevant for use in connection with
graphical models. Almost all datasets used in the book
Graphical Models with R (2012) are contained in gRbase.
gRbase implements several graph algorithms (based mainly on
representing graphs as adjacency matrices - either in the form
of a standard matrix or a sparse matrix). Some graph algorithms
are: (i) maximum cardinality search (for marked and unmarked
graphs). (ii) moralize. (iii) triangulate. (iv)
junctionTree.
gRbase facilities for array operations,
gRbase implements functions for testing for conditional independence.
gRbase illustrates how hierarchical log-linear models (hllm) may be
implemented and describes concept of gmData (graphical meta
data). These features, however, are not maintained anymore and
remains in gRbase only because there exists a paper describing
these facilities: A Common Platform for Graphical Models in R:
The gRbase Package, Journal of Statistical Software, Vol 14, No
17, 2005.