Randomly Select Candidates for Intervention This function provides all the output of select_next_intervention, except that it selects interventions randomly. This is used for benchmarking purposes.
1 2 | select_random_intervention(dags, selected, candidates, k, cluster = NULL,
debug = FALSE)
|
selected |
a set of already selected interventions |
candidates |
a set of potential targets |
k |
threshold stopping critera (threshold for odds of no information gain for an intervention) |
cluster |
a cluster object such as in the package "parallel" |
debug |
boolean for reporting debugging messages |
DAGS |
A sample of high scoring DAG structures |
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