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.
|Author||Sren Hjsgaard <firstname.lastname@example.org> with contributions from Claus Dethlefsen <email@example.com> and Clive Bowsher <C.Bowsher@statslab.cam.ac.uk>|
|Date of publication||2013-01-30 11:39:10|
|Maintainer||Sren Hjsgaard <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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