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ggm (version 1.0.4)
Graphical Gaussian Models
Description
Functions for fitting Gaussian Markov models.
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Install
install.packages('ggm')
Monthly Downloads
6,060
Version
1.0.4
License
GPL (>= 2)
Maintainer
Giovanni M Marchetti
Last Published
February 15th, 2010
Functions in ggm (1.0.4)
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cliques
Cliques of an undirected graph
parcor
Partial correlations
isGident
G-identifiability of an UG
Simple Graph Operations
Simple graph operations
fitConGraph
Fitting of Gaussian concentration graph models
correlations
Marginal and partial correlations
bfs
Breadth first search
pcor.test
Test for zero partial association
transClos
Transitive closure of a graph
swp
Sweep operator
conComp
Connectivity components
pcor
Partial correlation
fitCovGraph
Fitting of Gaussian covariance graph models
cycleMatrix
Fundamental cycles
InducedGraphs
Graphs induced by marginalization or conditioning
UG
Defining an undirected graph (UG)
unmakeAG
Ancestral Graph components
dSep
d-separation
fitAncestralGraph
Fitting of Gaussian Ancestral Graph Models
adjMatrix
Adjacency matrix of a graph
findPath
Finding paths
topSort
Topological sort
cmpGraph
The complementary graph
checkIdent
Identifiability of a model with one latent variable
edgeMatrix
Edge matrix of a graph
marks
Mathematics marks
shipley.test
Test of all independencies implied by a given DAG
rcorr
Random correlation matrix
ggm
The package `ggm': summary information
DAG
Directed acyclic graphs (DAGs)
fitDag
Fitting of Gaussian DAG models
icf
Iterative conditional fitting
In
Indicator matrix
allEdges
All edges of a graph
rsphere
Random vectors on a sphere
glucose
Glucose control
fitDagLatent
Fitting Gaussian DAG models with one latent variable
basiSet
Basis set of a DAG
fundCycles
Fundamental cycles
isAcyclic
Graph queries
makeAG
Ancestral Graphs
rnormDag
Random sample from a decomposable Gaussian model
triDec
Triangular decomposition of a covariance matrix
essentialGraph
Essential graph
drawGraph
Drawing a graph with a simple point and click interface.