impliedConditionalIndependencies: List Implied Conditional Independencies
Description
Generates a list of conditional independence statements that must hold in every
probability distribution compatible with the given model.
Usage
impliedConditionalIndependencies(x, type = "missing.edge",
max.results = Inf)
Arguments
x
the input graph, a DAG, MAG, or PDAG.
type
can be one of "missing.edge" or "basis.set". With the former, one testable
implication is returned per missing edge of the graph. With the latter, one testable
implication is returned per vertex of the graph that has non-descendants other than
its parents. Basis sets can be smaller, but they involve higher-dimensional independencies,
whereas missing edge sets involve only bivariate independencies.
max.results
integer. The listing of conditional independencies is stopped once
this many results have been found. Use Inf to generate them all. This applies
only when type="missing.edge".
# NOT RUN {g <- dagitty( "dag{ x -> m -> y }" )
impliedConditionalIndependencies( g ) # onelatents( g ) <- c("m")
impliedConditionalIndependencies( g ) # none# }