ggm
type: Item
swMATH work ID: 4542
instance of: R package
software version identifier: 2.5
software version identifier: 0.5
software version identifier: 0.8-1
software version identifier: 0.8
software version identifier: 1.0.2
software version identifier: 1.0.3
software version identifier: 1.0.4
software version identifier: 1.0
software version identifier: 1.99-1
software version identifier: 1.99-2
software version identifier: 1.99-3
software version identifier: 1.99-5
software version identifier: 1.99
software version identifier: 1.995-0
software version identifier: 1.995-2
software version identifier: 1.995-3
software version identifier: 1.995-5
software version identifier: 2.0
software version identifier: 2.1
software version identifier: 2.2
software version identifier: 2.3
software version identifier: 2.5.1
maintained by: Giovanni M. Marchetti
CRAN project: ggm
Wikidata QID: Q114076481
programmed in: R
last update: 2024-01-25T00:00:00Z
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.
author: Giovanni M. Marchetti
author: Mathias Drton
author: Kayvan Sadeghi
copyright license: GNU General Public License, version 2.0
depends on software: methods
depends on software: R
imports: BiocManager
imports: graph
imports: igraph
MaRDI profile type: Software
source code repository: ggm
description: Graphical Markov Models with Mixed Graphs