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ggm (version 1.0.3)
Graphical Gaussian Models
Description
Functions for fitting Gaussian Markov models.
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Install
install.packages('ggm')
Monthly Downloads
4,076
Version
1.0.3
License
GPL (>= 2)
Maintainer
Giovanni M Marchetti
Last Published
January 6th, 2010
Functions in ggm (1.0.3)
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Simple Graph Operations
Simple graph operations
fitCovGraph
Fitting of Gaussian covariance graph models
fundCycles
Fundamental cycles
glucose
Glucose control
rcorr
Random correlation matrix
rnormDag
Random sample from a decomposable Gaussian model
InducedGraphs
Graphs induced by marginalization or conditioning
cycleMatrix
Fundamental cycles
essentialGraph
Essential graph
isAcyclic
Graph queries
isGident
G-identifiability of an UG
pcor
Partial correlation
correlations
Marginal and partial correlations
fitConGraph
Fitting of Gaussian concentration graph models
fitDagLatent
Fitting Gaussian DAG models with one latent variable
makeAG
Ancestral Graphs
edgeMatrix
Edge matrix of a graph
transClos
Transitive closure of a graph
triDec
Triangular decomposition of a covariance matrix
fitDag
Fitting of Gaussian DAG models
icf
Iterative conditional fitting
marks
Mathematics marks
In
Indicator matrix
ggm
The package `ggm': summary information
shipley.test
Test of all independencies implied by a given DAG
topSort
Topological sort
adjMatrix
Adjacency matrix of a graph
drawGraph
Drawing a graph with a simple point and click interface.
rsphere
Random vectors on a sphere
UG
Defining an undirected graph (UG)
cmpGraph
The complementary graph
allEdges
All edges of a graph
conComp
Connectivity components
dSep
d-separation
checkIdent
Identifiability of a model with one latent variable
basiSet
Basis set of a DAG
findPath
Finding paths
pcor.test
Test for zero partial association
swp
Sweep operator
bfs
Breadth first search
DAG
Directed acyclic graphs (DAGs)
cliques
Cliques of an undirected graph
unmakeAG
Ancestral Graph components
parcor
Partial correlations
fitAncestralGraph
Fitting of Gaussian Ancestral Graph Models