Graphical Gaussian Models

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Documentation for package `ggm' version 0.8-1

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adjMatrix Adjacency matrix of a graph
allEdges All edges of a graph
basiSet Basis set of a DAG
bd Simple graph operations
bfs Breadth first search
ch Simple graph operations
checkIdent Identifiability of a model with one latent variable
cliques Cliques of an undirected graph
cmpGraph The complementary graph
conComp Connectivity components
correlations Marginal and partial correlations
cycleMatrix Fundamental cycles
DAG Directed acyclic graphs (DAGs)
drawGraph Drawing a graph with a simple point and click interface.
dSep d-separation
edgeMatrix Edge matrix of a graph
findPath Finding paths
fitAncestralGraph Fitting of Gaussian Ancestral Graph Models
fitConGraph Fitting of Gaussian concentration graph models
fitCovGraph Fitting of Gaussian covariance graph models
fitDag Fitting of Gaussian DAG models
fitDagLatent Fitting Gaussian DAG models with one latent variable
fundCycles Fundamental cycles
ggm The package `ggm': summary information
glucose Glucose control
In Indicator matrix
inducedConGraph Graphs induced by marginalization or conditioning
inducedCovGraph Graphs induced by marginalization or conditioning
InducedGraphs Graphs induced by marginalization or conditioning
isAcyclic Graph queries
isGident G-identifiability of an UG
makeAG Ancestral Graphs
marks Mathematics marks
pa Simple graph operations
parcor Partial correlations
pcor Partial correlation
pcor.test Test for zero partial association
rcorr Random correlation matrix
rnormDag Random sample from a decomposable Gaussian model
rsphere Random vectors on a sphere
shipley.test Test of all independencies implied by a given DAG
swp Sweep operator
topOrder Topological sort
topSort Topological sort
transClos Transitive closure of a graph
triDec Triangular decomposition of a covariance matrix
UG Defining an undirected graph (UG)
unmakeAG Ancestral Graph components