UGgmm-class | R Documentation |
The "UGgmm"
class is the class of undirected Gaussian graphical
Markov models defined within the qpgraph
package to store
simulate and manipulate this type of graphical Markov models (GMMs).
An undirected Gaussian GMM is a family of multivariate normal distributions sharing a set of conditional independences encoded by means of an undirected graph. Further details can be found in the book of Lauritzen (1996).
Objects can be created by calls of the form UGgmm(g, ...)
corresponding
to constructor methods or rUGgmm(n, g, ...)
corresponding to random
simulation methods.
p
:Object of class "integer"
storing the dimension of the
undirected Gaussian GMM corresponding to the number of random variables.
g
:Object of class graphBAM-class
storing
the associated undirected labeled graph.
mean
:Object of class "numeric"
storing the mean vector.
sigma
:Object of class dspMatrix-class
storing the covariance matrix.
UGgmm(g)
Constructor method where g
can be either an
adjacency matrix or a graphBAM-class
object.
rUGgmm(n, g)
Constructor simulation method that allows one to
simulate undirected Gaussian GMMs where n
is the number of GMMs to
simulate and g
can be either a graphParam object,
an adjacency matrix or a graphBAM-class
object.
names(x)
Accessor method to obtain the names of the
elements in the object x
that can be retrieved with the $
accessor operator.
$
Accessor operator to retrieve elements of the object
in an analogous way to a list
.
dim(x)
Dimension of the undirected Gaussian GMM corresponding to the total number of random variables.
dimnames(x)
Names of the random variables in the undirected Gaussian GMM.
show(object)
Method to display some bits of information about
the input undirected Gaussian GMM specified in object
.
summary(object)
Method to display a sumamry of the main features
of the input undirected Gaussian GMM specified in object
.
plot(x, ...)
Method to plot the undirected graph associated to the
the input undirected Gaussian GMM specified in x
. It uses the plotting
capabilities from the Rgraphviz
library to which further arguments
specified in ...
are further passed.
R. Castelo
Lauritzen, S.L. Graphical models. Oxford University Press, 1996.
HMgmm
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