Imports: graph, Rgraphviz, RBGL, stats4, igraph, magrittr, Matrix, Rcpp
Suggests: testthat (>= 2.1.0), microbenchmark, knitr

LinkingTo: Rcpp (>= 0.11.1), RcppEigen, RcppArmadillo

used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements
graph algorithms including (i) maximum cardinality search (for marked
(ii) moralization, (iii) triangulation, (iv) creation of junction tree.
The facilities of the package are documented in the book by Højsgaard,
Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>).
Please see 'citation("gRbase")' for citation details.

Imports: BiocManager, graph, RBGL, Rgraphviz, stats4, igraph, magrittr,

'Rgraphviz' and 'RBGL' are installed from 'bioconductor'. For

Title:   Inference in Graphical Gaussian Models with Edge and Vertex Symmetries
Author:  S�ren H�jsgaard <sorenh@agrsci.dk> Steffen L. Lauritzen <steffen@stats.ox.ac.uk>
Description: Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours)

Author:  S�ren H�jsgaard <sorenh@agrsci.dk>, Steffen L. Lauritzen <steffen@stats.ox.ac.uk>

Title: Inference in Graphical Gaussian Models with Edge and Vertex
Author: S�ren H�jsgaard <sorenh@agrsci.dk>, Steffen L. Lauritzen
Description: Estimation, model selection and other aspects of
statistical inference in Graphical Gaussian models with edge
and vertex symmetries (Graphical Gaussian models with colours)

Author: S�ren H�jsgaard <sorenh@mail.dk>, Steffen L. Lauritzen

Author: S�ren H�jsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen

and vertex symmetries (Graphical Gaussian models with colours).
Imports: MASS, grDevices, graphics, methods, stats

Author: Søren Højsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen <steffen@stats.ox.ac.uk>
statistical inference in Graphical Gaussian models with edge and
vertex symmetries (Graphical Gaussian models with colours).
Documentation about 'gRc' is provided in the paper by Hojsgaard and
Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by
Suggests: Rgraphviz, RBGL, microbenchmark, knitr