select_random_intervention: Randomly Select Candidates for Intervention This function...
In robertness/bninfo: Queries and information theoritic operations on Bayesian networks.
Description
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.
Usage
1
2
select_random_intervention(dags, selected, candidates, k, cluster = NULL,
debug = FALSE)
Arguments
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
robertness/bninfo documentation built on May 27, 2019, 10:32 a.m.
R Package Documentation
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Description
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.
Usage
1 2 | select_random_intervention(dags, selected, candidates, k, cluster = NULL,
debug = FALSE)
|
Arguments
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 |
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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