pdag: Partially Directed Acyclic Graphs
In tzimiskes/causality: Examine The Causal Structure of Data
Description
Usage
Details
Value
Description
Partially Directed Acyclic Graphs
Usage
1
2
3
pdag(nodes, edges, validate = TRUE)
is_valid_pdag(graph)
Details
is_valid_pdag checks to see if the input is a valid
"causality.pdag". Specifically, it checks that the graph is
nonlatent and acyclic.
Value
is_valid_pdag returns TRUE or FALSE depending
on whether or not the input is a valid "causality.pdag".
tzimiskes/causality documentation built on Sept. 15, 2019, 8:41 p.m.
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Description Usage Details Value
Description
Partially Directed Acyclic Graphs
Usage
1 2 3 | pdag(nodes, edges, validate = TRUE)
is_valid_pdag(graph)
|
Details
is_valid_pdag checks to see if the input is a valid
"causality.pdag". Specifically, it checks that the graph is
nonlatent and acyclic.
Value
is_valid_pdag returns TRUE or FALSE depending
on whether or not the input is a valid "causality.pdag".
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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