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ggm
View on CRAN: Click
here
Download and install ggm package within the R console
Install from CRAN:
install.packages("ggm")
Install from Github:
library("remotes")
install_github("cran/ggm") Install by package version:
library("remotes")
install_version("ggm", "2.5.4") Attach the package and use:
library("ggm")
Maintained by
Giovanni M. Marchetti
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-09-12
Latest Update: 2025-07-25
Description:
Provides functions for defining
mixed graphs containing three types of edges, directed,
undirected and bi-directed, with possibly multiple edges.
These graphs are useful because they capture fundamental
independence structures in multivariate distributions
and in the induced distributions after marginalization
and conditioning.
The package is especially concerned with Gaussian graphical
models for
(i) ML estimation for directed acyclic graphs, undirected and
bi-directed graphs and ancestral graph models
(ii) testing several conditional independencies
(iii) checking global identification of DAG Gaussian models
with one latent variable
(iv) testing Markov equivalences and generating Markov
equivalent graphs of specific types.
How to cite:
Giovanni M. Marchetti (2003). ggm: Graphical Markov Models with Mixed Graphs. R package version 2.5.4, https://cran.r-project.org/web/packages/ggm. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-08-04 13:00), 0.5 (2003-09-12 22:24), 0.8-1 (2003-11-15 22:29), 0.8 (2003-11-13 19:34), 1.0.2 (2006-02-09 15:52), 1.0.3 (2010-01-06 13:11), 1.0.4 (2010-02-15 09:23), 1.0 (2005-05-31 12:13), 1.99-1 (2011-12-11 11:41), 1.99-2 (2012-01-12 10:24), 1.99-3 (2012-06-14 17:04), 1.99-5 (2012-06-19 14:50), 1.99 (2011-11-23 14:11), 1.995-0 (2012-08-24 10:35), 1.995-2 (2012-09-14 14:06), 1.995-3 (2012-10-05 14:50), 1.995-5 (2014-01-15 19:40), 2.0 (2014-03-21 10:18), 2.1 (2014-05-19 11:43), 2.2 (2014-12-04 13:53), 2.3 (2015-01-21 12:47), 2.5.1 (2024-01-25 15:50), 2.5.2 (2025-07-25 16:10), 2.5 (2020-02-16 15:00)
Other packages that cited ggm R package
View ggm citation profile
Other R packages that ggm depends,
imports, suggests or enhances
Complete documentation for ggm
Functions, R codes and Examples using
the ggm R package
Some associated functions: AG . DAG . DG . In . InducedGraphs . MAG . MRG . MSG . MarkEqMag . MarkEqRcg . Max . RG . RepMarBG . RepMarDAG . RepMarUG . SG . SimpleGraphOperations . UG . UtilityFunctions . adjMatrix . allEdges . anger . basiSet . bfsearch . binve . blkdiag . blodiag . checkIdent . cmpGraph . conComp . correlations . cycleMatrix . dSep . derived . diagv . drawGraph . edgematrix . essentialGraph . findPath . fitAncestralGraph . fitConGraph . fitCovGraph . fitDag . fitDagLatent . fitmlogit . fundCycles . ggm . glucose . grMAT . icf . isADMG . isAG . isAcyclic . isGident . makeMG . marg.param . marks . mat.mlogit . msep . null . parcor . pcor . pcor.test . plotGraph . powerset . rcorr . rnormDag . rsphere . shipley.test . stress . surdata . swp . topSort . transClos . triDec . unmakeMG .
Some associated R codes: all_functions.R . Full ggm package functions and examples
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