BiocManager, graph, RBGL, Rgraphviz, stats4, igraph, magrittr,
Matrix, Rcpp (>= 0.11.1)

The 'gRbase' package provides graphical modelling features
used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements
graph algorithms including (i) maximum cardinality search (for marked
and unmarked graphs).
(ii) moralization, (iii) triangulation, (iv) creation of 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.
The facilities of the package are documented in the book by Højsgaard,
Edwards and Lauritzen (2012,
<doi:10.1007/978-1-4614-2299-0>) and in the paper by
Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>).
Please see 'citation("gRbase")' for citation details.
NOTICE  'gRbase' requires that the packages graph,
'Rgraphviz' and 'RBGL' are installed from 'bioconductor'. For
installation instructions please refer to the web page given below.

Inference in Graphical Gaussian Models with Edge and Vertex Symmetries
Søren Højsgaard <sorenh@agrsci.dk> Steffen L. Lauritzen <steffen@stats.ox.ac.uk>
Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours)

Søren Højsgaard <sorenh@agrsci.dk>, Steffen L. Lauritzen <steffen@stats.ox.ac.uk>

Inference in Graphical Gaussian Models with Edge and Vertex
Symmetries
Søren Højsgaard <sorenh@agrsci.dk>, Steffen L. Lauritzen
<steffen@stats.ox.ac.uk>
Estimation, model selection and other aspects of
statistical inference in Graphical Gaussian models with edge
and vertex symmetries (Graphical Gaussian models with colours)

Søren Højsgaard <sorenh@mail.dk>, Steffen L. Lauritzen
<steffen@stats.ox.ac.uk>

Søren Højsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen
<steffen@stats.ox.ac.uk>

Estimation, model selection and other aspects of
statistical inference in Graphical Gaussian models with edge
and vertex symmetries (Graphical Gaussian models with colours).
MASS, grDevices, graphics, methods, stats