Independencies Induced from a Graphical Markov Model After Marginalization and Conditioning: The R Package ggm
We describe some functions in the R package ggm to derive from a given Markov model, represented by a directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on some of the variables. The package has a few basic functions that find the essential graph, the...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2006-02-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/1481 |