Graphical Gaussian Models


[Package List] [Top]
ancGraph Ancestor graphs
anGraph Ancestor graphs
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
clos Graph operations
cmpGraph The complementary graph
conComp Connectivity components
correlations Marginal and partial correlations
cycleMatrix Fundamental cycles
DAG Defining directed acyclic graphs (DAGs)
dSep d-separation
edges Edges of a graph
findPath Finding paths
fitDag Gaussian Markov models specified by a DAG
fitDagLatent Gaussian DAG model with one latent variable
fitUg Gaussian Markov models specified by an UG
fundCycles Fundamental cycles
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
is.acyclic Graph queries
is.Gident G-identifiability of an UG
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 DAG
swp Sweep operator
topSort Topological sort
triDec Triangular decomposition of a covariance matrix
UG Defining an undirected graph (UG)