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).
Documentation about 'gRc' is provided in the paper by Hojsgaard and
Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by
Hojsgaard and Lauritzen (2008, <doi:10.1111/j.1467-9868.2008.00666.x>).

Søren Højsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen <lauritzen@math.ku.dk>

Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (coloured Graphical Gaussian models)

Implements graphical interaction models for contingency
tables (i.e. log-linear models) and graphical Gaussian models
for the multivariate normal data (i.e. covariance selection
models) and mixed interaction models
R (>= 2.1.0),methods,gRbase (>= 1.6-2),gRain,doBy

gRaphical Interaction Models:

Models for for contingency tables (i.e. log-linear models)

Graphical Gaussian models for multivariate normal data (i.e. covariance
selection models)

Mixed interaction models

gRaphical Interaction Models:

Models for for contingency tables (i.e. log-linear models)

Graphical Gaussian models for multivariate normal data (i.e. covariance selection
models)

Mixed interaction models

Implements graphical interaction models for contingency
tables (i.e. log-linear models) and graphical Gaussian models
for the multivariate normal data (i.e. covariance selection
models).

Implements graphical interaction models for contingency
tables (i.e. log-linear models) and graphical Gaussian models
for the multivariate normal data (i.e. covariance selection models).

Provides the following types of models: Models for for contingency
tables (i.e. log-linear models) Graphical Gaussian models for multivariate
normal data (i.e. covariance selection models) Mixed interaction models.

graph, Rgraphviz, igraph, gRain (>= 1.3-4), magrittr, Rcpp (>=
0.11.1)
Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen, gRbase (>=
1.8-6)