DISCLAIMER: this version of gRbase fixes a small warning that was present in gRbase. CRAN tried to contact the original maintainer but they never got an answer back, and a few packages depend on this, so we decided to fix it for them. All the merit goes to Søren Højsgaard, and we will ONLY maintain stupid check issues that might arise (yes, stupid, it was only a suggestion for a couple of parentheses). The 'gRbase' package provides general features which are used by other graphical modelling packages, in particular by the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' contains several data sets relevant for use in connection with graphical models. Almost all data sets 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) junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical loglinear models may be implemented and describes concept of 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. NOTICE Proper functionality of 'gRbase' requires that the packages graph, 'Rgraphviz' and 'RBGL' are installed from 'bioconductor'; for installation instructions please refer to the web page given below.
Package details 


Author  Søren Højsgaard <[email protected]> 
Maintainer  Søren Højsgaard <[email protected]> 
License  GPL (>= 2) 
Version  1.83 
URL  http://people.math.aau.dk/~sorenh/software/gR/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.