gRbase

A Package for Graphical Modelling in R

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 log-linear 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.

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Description file content

Package
gRbase
Version
1.8-3.4
Title
A Package for Graphical Modelling in R
Author
Søren Højsgaard
Maintainer
Søren Højsgaard
Description
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 log-linear 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.
License
GPL (>= 2)
URL
ByteCompile
Yes
Encoding
UTF-8
VignetteBuilder
knitr
Depends
R (>= 3.0.2), methods
Imports
graph, igraph, magrittr, Matrix, RBGL, Rcpp (>= 0.11.1)
Suggests
Rgraphviz, microbenchmark, knitr
LinkingTo
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen
RoxygenNote
5.0.1
NeedsCompilation
yes
Repository
CRAN
Date/Publication
2018-08-07 21:30:06 UTC
Packaged
2018-08-07 20:40:09 UTC; sorenh

install.packages('gRbase')

1.8-3.4

4 months ago

http://people.math.aau.dk/~sorenh/software/gR/

Søren Højsgaard

GPL (>= 2)

Depends on

R (>= 3.0.2), methods

Imports

graph, igraph, magrittr, Matrix, RBGL, Rcpp (>= 0.11.1)

Suggests

Rgraphviz, microbenchmark, knitr

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